βœ“ Engineering βœ• Clear

Engineering Jobs in Oakland Ca Remote

94 positions found

Staff Software Engineer, Ads Measurement Products
✦ New
🏒 Pinterest
Salary not disclosed
San Francisco, CA 15 hours ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission


The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.


We build the platform these products run on and are evolving it into our nextgen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest's enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.


Role Summary


We're seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You'll drive endtoend platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.



What you'll do:

  • Own endtoend architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
  • Design, build, and optimize largescale data pipelines that power study setup, experiment execution, and results computation.
  • Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
  • Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
  • Build "rigor by default" mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
  • Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead rootcause analysis for pipeline and study issues.
  • Mentor and up level engineers, driving strong technical execution and crossfunctional collaboration.


What we're looking for:

  • BS+ in Computer Science (or related field) or equivalent practical experience.
  • 8+ years of professional software engineering experience, with a focus on dataintensive systems.
  • Strong proficiency building and operating largescale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
  • Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
  • Demonstrated ability to transform a team's engineering workflow using AI-from pilot to broad adoption-through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate).
  • Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
  • Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
  • Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
  • Demonstrated ability to lead large crossfunctional initiatives, drive alignment, and deliver measurable impact through technical leadership.


In-Office Requirement Statement:



  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-REMOTE


#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$177,185β€”$364,795 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
View & Apply
Sr. QA Engineer, tvScientific
✦ New
🏒 Pinterest
Salary not disclosed
San Francisco, CA 15 hours ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific


tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.



tvScientific is looking for aSenior QA Engineer for its Web Platformwith strong expertise inweb and API testing. This role requires a balance ofmanual testing excellenceandautomation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.


You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.



What you'll do:



  • Own and drivequalityfor web platform features, spanning UI, APIs, and backend services
  • Design and executemanual test casesandexploratory testingfor complex web and API workflows
  • Conduct thorough regression testing when bugs are resolved.
  • Build and maintainautomated test suitesfor:
  • Validatefrontend-backend integration, data consistency, and error handling
  • PerformAPI contract testing, schema validation, and negative/edge-case testing
  • Collaborate with engineers duringdesign, implementation, and code reviewsto improve testability and catch issues early
  • Integrate automated tests intoCI/CD pipelinesto provide fast, reliable feedback
  • Analyze test failures, investigate root causes, and drive issues to resolution
  • Advocate for quality best practices, includingshift-left testing, risk-based testing, and automation strategy
  • Identify, document, and track software defects using bug tracking tools like Jira.


What we're looking for:



  • Experience in QA / Quality Engineering, with a strong focus onweb platforms and APIs
  • Proven hands-on experience withmanual testingof complex, consumer-facing web applications
  • Strong experience building and maintainingAPI testsusing tools such as Postman, REST-assured, Supertest, or similar
  • Hands-on experience withweb automation frameworks(Playwright, Cypress)
  • Solid understanding ofHTTP, REST and API design principles
  • Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
  • Experience working inAgile/Scrumenvironments
  • Strong debugging, analytical, and communication skills
  • Strategic partnership with stakeholders /Cross-functional collaboration that is high-trust and high-velocity
  • Nice-to-Haves:

    • Experience testinglarge-scale, high-traffic web platforms
    • Familiarity withReact or modern frontend frameworks
    • Experience withperformance, load, or reliability testingfor APIs and web applications
    • Exposure to feature flags, experimentation platforms, or observability tools




In-Office Requirement Statement:



  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.

#LI-SM4


#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$109,242β€”$224,910 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
View & Apply
Machine Learning Engineer, Monetization Engineering
✦ New
🏒 Pinterest
Salary not disclosed
San Francisco, CA 15 hours ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.


Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.


What you'll do:



  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keep up with industry trends in recommendation systems
  • Leverage LLMs to enhance content understanding


What we're looking for:



  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • Degree in computer science, machine learning, statistics, or related field
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  • Nice to have:


    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • Background in computational advertising




Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-HYBRID


#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$163,418β€”$285,982 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
View & Apply
Staff Software Engineer
✦ New
🏒 IPG Mediabrands
Salary not disclosed
San Francisco, CA 15 hours ago

Business Overview


KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.


Responsibilities

  • Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  • Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  • LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  • Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  • Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  • Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.


Required Skills & Experience

  • 12+ years of software engineering experience building production-grade applications.
  • 7+ years of experience with Java (Python experience strongly preferred).
  • 3+ years of experience leading or managing engineering teams.
  • Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  • Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  • Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  • Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  • Strong expertise in GCP and integrating AI services with LLM foundational models.
  • Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  • Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  • Comfortable working in Agile/Scrum environments with cross-functional teams.


Desired Skills & Experience

  • Experience with context engineering and fine-tuning AI/LLM outputs.
  • Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  • Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  • Experience in enterprise-grade security and compliance frameworks.


Wage and Benefits

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.


Employment Transparency

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.


Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.


The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.


For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

Salary Range$180,000β€”$200,000 USD
Not Specified
View & Apply
Staff Software Engineer, Conversion Data Privacy
✦ New
🏒 Pinterest
Salary not disclosed
San Francisco, CA 15 hours ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission


The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.



Role Summary


We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.



What you'll do:



  • Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  • Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  • Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  • Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  • Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  • Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  • Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.


What we're looking for:



  • BS+ in Computer Science (or related field) or equivalent practical experience.
  • 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  • Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  • Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  • Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  • Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  • Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.


In-Office Requirement Statement:



  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-REMOTE


#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$177,185β€”$364,795 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
View & Apply
Engineering Manager II, Machine Learning - User Understanding
✦ New
🏒 Pinterest
Salary not disclosed
San Francisco, CA 15 hours ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest is seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations-impacting hundreds of millions of users every day. You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. We're looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at scale.


What you will do:



  • Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  • Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.
  • Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.
  • Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  • Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.
  • Foster a collaborative, inclusive, and high-performing team culture.


What we're looking for:



  • 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems.
  • 2+ years of people management experience leading engineering teams.
  • Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.
  • Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.


In-Office Requirement Statement:



  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.

#LI-AK7
#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,308β€”$389,753 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
View & Apply
PhD Machine Learning Internship 2026 (USA)
✦ New
🏒 Pinterest
Salary not disclosed
San Francisco, CA 15 hours ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.


As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.



Note to applicants:


By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.


Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.


We offer 2 internship start dates:



  • May 18, 2026 - August 7, 2026
  • June 15, 2026 - September 4, 2026


What you'll do:



  • Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  • Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  • Write clean, efficient, and sustainable code
  • Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  • Scope and independently solve moderately complex problems
  • Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.


What we're looking for:



  • Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  • Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  • Experience in research and in solving analytical problems
  • Strong communicator and team player with the ability to find solutions for open-ended problems.
  • Preferred Qualifications:

    • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    • Interest in research and in applying ML to impactful real-world problems on the Pinterest product



Why Intern at Pinterest?



  • Meaningful Work: Contribute to projects that impact millions of users worldwide.
  • Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.


In-Office Requirement Statement:



  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.


At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.



US based applicants only


The salary for this position is $12,100 monthly.



#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

internship
View & Apply
Sr. Machine Learning Engineer, Monetization Engineering
✦ New
🏒 Pinterest
Salary not disclosed
San Francisco, CA 15 hours ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.


Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.



What you'll do:



  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keep up with industry trends in recommendation systems
  • Leverage LLMs to enhance content understanding


What we're looking for:



  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • Degree in computer science, statistics, or related field; or equivalent experience
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  • Nice to have:

    • M.S. or PhD in Machine Learning or related areas
    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • Background in computational advertising




Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-HYBRID


At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,721β€”$332,012 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
View & Apply
Lecturer Pool - Mechanical Engineering & Aerospace Engineering - College ofEngineering
✦ New
Salary not disclosed
Berkeley, CA 15 hours ago
Position overview

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . TSP hourly rate $65. The current full-time salary range for Lecturer positions is $75,301 - $199,722. Starting salary is commensurate with highest degree, teaching experience, and equity within the department.

Percent time:
Lecturers: 7% to 100% in any given semester

TSP: Hourly (4 -40 hours per week)

Anticipated start:
Positions usually start in January, various times throughout the summer and August.

Position duration:
Positions can be one semester or academic year

Application Window


Open date: July 1, 2025




Most recent review date: Friday, Sep 26, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Wednesday, Jul 1, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

We are generating an applicant pool of qualified temporary instructors to teach regular and Summer Session courses, should an opening arise. In addition to lecturing responsibilities, general duties for these positions include laboratory teaching, holding regular office hours, assigning grades, advising students, and preparing course materials and exams.



We are also seeking applicants for Teacher Special Programs (TSP), should an opening arise. TSP instructors will be responsible for overseeing capstone projects in the Master of Engineering (MEng) program in the Department Mechanical Engineering. This includes: design and propose capstone projects and help match students into suitable projects. Meet with each capstone project team on a regular basis to review results, manage interpersonal aspects, and maintain efficient progress. Provide critical, constructive feedback on students' written reports and oral presentations. Coordinating and participating in the MS Plan II exam of each student at the end of the capstone project period. This pool encompasses engineering science and technology specializations relevant to both mechanical engineering and aerospace engineering.



Applicants are considered for positions as need arise; the existence of this pool does not guarantee that a position is available.



If you wish to remain in the pool after the final date, you will need to reapply.



Department:



Qualifications

Basic qualifications (required at time of application)

Basic qualifications for both positions: Master's degree or equivalent international degree at the time of application.



Additional qualifications (required at time of start)

Additional qualifications for both positions: Ph.D. or equivalent international degree by the start of the appointment and one or more years of teaching experience at the graduate level.



Preferred qualifications

Teaching experience offering undergraduate or graduate courses.



Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter


  • Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy




Reference requirements
  • 2 required (contact information only)


Apply link:
JPF04971

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
View & Apply
Manager II, Machine Learning-Search
✦ New
🏒 Pinterest
Salary not disclosed
San Francisco, CA 15 hours ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest helps more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.


We are looking for an exceptional technical leader and engineering manager to help lead the search backend team that spans across Palo Alto and Seattle.



What you will do:



  • The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
  • Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
  • Deeply understand the Pinterest search product, and drive the vision for the team.
  • Provide visibility for senior leadership into the team's global impact.
  • Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
  • Mentor and grow managers, leaders and engineers on the team.
  • Build a culture of excellence and expertise.


What we are looking for:



  • Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.
  • Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
  • Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
  • A knack for product and impact on users of a consumer product.
  • 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
  • Bachelors degree in computer science or related technical field, or equivalent experience


In-Office Requirement Statement:



  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE


#LI-DM57

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,308β€”$389,753 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
View & Apply
Principal Mechanical Design Engineer - Data Center Infrastructure (REMOTE) (AUSTIN)
✦ New
Salary not disclosed
AUSTIN, Texas, Remote 15 hours ago
Job Title: Principal Mechanical Integration Engineer

Job Family: Mechanical Design Engineering

Organization: Data Center Infrastructure Team

Location: Remote* OR Austin, TX

*Requires up to 20% domestic and/or international travel (rare)

How will you make an impact?β€―

The Principal Mechanical Design Engineer (Data Center Infrastructure) is a technical leader responsible for the architecture, integration, and validation of advanced mechanical systems supporting hyperscale data center environments. This role requires deep expertise in liquid cooling technologies (single-phase and two-phase), hydronic system design, structural integration, and manufacturable rack-level infrastructure solutions.

This role is responsible for defining system performance requirements, developing technical specifications, selection and integration of critical components, and leading mechanical design from concept through production release. Responsibilities include wetted material selection, thermal and structural analysis, fastening strategies, component layout, and design for manufacturability. Partners cross-functionally to deliver reliable, scalable, and cost-effective Data Center Infrastructure solutions while advancing innovation in liquid cooling performance.

What will you do?

- Lead the end-to-end mechanical design and engineering of hyperscale Data Center Infrastructure (DCI) systems, including liquid-cooled rack assemblies, CDUs, manifolds, enclosures, structural frames, and associated hydronic piping systems.

- Serve as the technical authority for single-phase and two-phase liquid cooling architectures, including primary and secondary loop design, in-rack distribution, and system integration within hyperscale data center environments.

- Define and validate operational performance requirements for liquid-cooled infrastructure, including pressure ratings, hydrostatic limits, temperature ranges, flow rates and uniformity, thermal expansion, durability, and serviceability.

- Design, analyze, and validate machined components, welded fabrications, manifolds, and structural systems using advanced engineering principles, including stress analysis, finite element analysis (FEA), flow modeling, and structural load calculations to ensure mechanical integrity and code compliance.

- Lead wetted material selection and compatibility analysis for liquid cooling systems, including corrosion mitigation strategies, surface treatments, cleanliness standards, and long-term durability considerations.

- Develop and review CAD models and complete technical data packages using CREO, SolidWorks, or equivalent tools; ensure design accuracy, manufacturability, and system-level integration.

- Author and approve technical specifications for piping systems, rack-level cooling infrastructure, and hydronic components, including installation guidelines, maintenance procedures, testing requirements, and compliance with applicable standards (ASME, ISO).

- Establish and oversee validation protocols including hydrostatic pressure testing, leak detection and mitigation, flow resistance analysis, and corrosion verification to ensure regulatory compliance and operational reliability.

- Evaluate customer design proposals and technical specifications to assess feasibility, manufacturability, cost, and risk; provide recommendations to optimize performance and total cost of ownership.

- Lead cross-functional design reviews with electrical, thermal, manufacturing, quality, and supply chain teams to ensure full system integration and compliance with product specifications and applicable plumbing and hydronic codes.

- Optimize rack manifold design and manufacturing processes, including machining, welding, surface finishing, connection interfaces, venting and draining strategies, and flow path optimization to enhance performance and manufacturability.

- Drive continuous improvement in manufacturing assembly methods and tooling in collaboration with production teams and equipment vendors to improve quality, scalability, and cost efficiency.

- Lead root cause investigations for complex mechanical failures identified during validation or field deployment and implement corrective design improvements.

- Provide technical leadership in vendor qualification and management for mechanical components and liquid cooling subsystems.

- Identify and mitigate technical risks impacting performance, schedule, or cost, and contribute to R&D initiatives advancing liquid cooling technologies and system innovation.

MINIMUM QUALIFICATIONS

Education:β€―

- Bachelor’s degree in Mechanical Engineering, Systems Engineering, or a related engineering discipline from an accredited university.

Experience:β€―

- 8 years' experience in mechanical design and integration of mission-critical systems.

- Proven track record of successful system designs and implementations in a relevant industry

- Strong understanding of mechanical systems, integration strategy, and system coordination

- Familiarity with industry standards and regulations related to Energy Storage Systems and Data Center Infrastructure is preferred.

- Excellent problem-solving skills and attention to detail

- Strong communication and teamwork abilities

PREFERRED QUALIFICATIONS

- Master’s Degree in Mechanical Engineering

- Professional Engineer (PE) License
Remote working/work at home options are available for this role.
temporary
View & Apply
Remote Performance Test Engineer
✦ New
🏒 JABIL CIRCUIT, INC
Salary not disclosed
Richardson, TX, Remote 16 hours ago
SUMMARY
Under limited supervision designs, develops and maintains test procedures, tester hardware and software for electronic circuit board production.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.
LEADERSHIP AND MANAGEMENT RESPONSIBILITIES
Recruitment and Retention:
Β· Recruit and interview Process Technicians.
Β· Communicate criteria to recruiters for Process Technician position candidates.
Β· Coach technicians in the interviewing/hiring process.
Β· Monitor team member turnover; identify key factors that can be improved; make improvements.
Employee and Team Development:
Β· Identify individual and team strengths and development needs on an ongoing basis.
Β· Create and/or validate training curriculum in area of responsibility.
Β· Coach and mentor Process Technicians to deliver excellence to every internal and external customer.
Performance Management:
Β· Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines, training documentation, attendance records, knowledge of operational roles and responsibilities, personal development goals).
Β· Solicit ongoing feedback from Assistant Test Engineering Manager, Workcell Manager (WCM), Business Unit Manager (BUM), peers and team member on team member’s contribution to the Workcell team. Provide ongoing coaching and counseling to team member based on feedback.
Β· Express pride in staff and encourage them to feel good about their accomplishments.
Β· Perform team member evaluations professionally and on time.
Β· Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals.
Β· Coordinate activities of large teams and keep them focused in times of crises.
Β· Ensure recognition and rewards are managed fairly and consistently in area of responsibility.
Communication:
Β· Provide communication forum for the exchange of ideas and information with the department.
Β· Organize verbal and written ideas clearly and use an appropriate business style.
Β· Ask questions; encourage input from team members.
Β· Assess communication style of individual team members and adapt own communication style accordingly.
TECHNICAL MANAGEMENT RESPONSIBILITIES
Β· Review circuit board designs for testability requirements.
Β· Support manufacturing with failure analysis, tester debugging, reduction of intermittent failures and downtime of test equipment.
Β· Prepare recommendations for testing and documentation of procedures to be used from the product design phase through to initial production.
Β· Generate reports and analysis of test data, prepares documentation and recommendations.
Β· Review test equipment designs, data and RMA issues with customers regularly.
Β· Design, and direct engineering and technical personnel in fabrication of testing and test control apparatus and equipment.
Β· Direct and coordinate engineering activities concerned with development, procurement, installation, and calibration of instruments, equipment, and control devices required to test, record, and reduce test data.
Β· Determine conditions under which tests are to be conducted and sequences and phases of test operations.
Β· Direct and exercise control over operational, functional, and performance phases of tests.
Β· Perform moderately complex assignments of the engineering test function for standard and/or custom devices.
Β· Analyze and interpret test data and prepares technical reports for use by test engineering and management personnel.
Β· Develop or use computer software and hardware to conduct tests on machinery and equipment.
Β· Perform semi-routine technique development and maintenance, subject to established Jabil standards, including ISO and QS development standards.
Β· Provide training in new procedures to production testing staff.
Β· Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor.
Β· Comply and follow all procedures within the company security policy.
MINIMUM REQUIREMENTS
Bachelors of Science in Electronics or Electrical Engineering from four-year college or university; and three to five years experience
LANGUAGE SKILLS
Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
MATHEMATICAL SKILLS
Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
REASONING ABILITY
Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC’s and test equipment weighing up to 50 lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time.
WORK ENVIRONMENT
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual’s primary workstation is located in the office area, with some time spent each day on the manufacturing floor. The noise level in this environment ranges from low to moderate.
Remote working/work at home options are available for this role.
permanent
View & Apply
REO Resiliency Engineering and Quality Leader (Hybrid)
✦ New
🏒 Securian
Salary not disclosed
Saint Paul, MN, Hybrid 15 hours ago

*At Securian Financial the internal position title is Infrastructure Dir."

Mission

"To lead the engineering discipline that ensures Securian's technology platforms and cloud services are built and operated with uncompromising resilience, performance, and quality. This role drives the design and automation of fault-tolerant, high-availability architectures across AWS, Azure, and GCP-ensuring the enterprise meets resiliency, scalability, and efficiency expectations at every layer of technology."

Positioning

The Director of Resilience Engineering and Quality Leader is both a strategic peer and technical counterpart to the Infrastructure & Reliability Engineering Leader.

This role provides bench depth and succession coverage for REO's most technically complex domains while driving innovation in reliability, resilience, and performance practices.

  • Strategic influence: Shapes cloud reliability, quality engineering, and resilience strategy across REO and Architecture domains.

  • Operational authority: Leads Sr. Managers and Managers who own the execution of quality, resilience, and performance engineering capabilities.

  • Enterprise collaboration: Works hand-in-hand with Technology, Solution, Business, Data, and Enterprise Architects to embed reliability and resilience as core architecture principles.

Scope of Accountability

Resilience Engineering & Cloud Reliability

  • Architect and validate fault-tolerant, regionally resilient architectures across AWS, Azure, and GCP.

  • Own resilience automation, chaos testing, and IaC-based recovery validation.

  • Lead cross-cloud reliability design reviews and failure-mode analyses for critical systems.

Quality Engineering & Continuous Testing

  • Define enterprise-wide quality engineering strategy integrated into CI/CD pipelines.

  • Drive automation-first testing (functional, non-functional, performance, resilience).

  • Embed observability-driven quality validation and contract testing across services.

Performance, Capacity & Efficiency Engineering

  • Oversee predictive capacity planning, scaling automation, and cost/efficiency optimization (FinOps/GreenOps).

  • Partner with Platform & Infrastructure teams to tune performance across application and platform layers.

  • Measure and report on performance SLIs/SLAs aligned to REO's Reliability Metrics framework.

Cross-Domain Architecture Collaboration

  • Partner with Enterprise Architects to codify resilience and reliability standards in technology blueprints.

  • Collaborate with Technology & Solution Architects to design service reliability into delivery architectures.

  • Engage Data Architects for data resilience, replication, and pipeline reliability.

  • Work with Business Architects to align technical reliability goals with critical business outcomes.

Leadership & Talent Development

  • Lead a team of Sr. Managers and Managers, fostering a high-performance, hands-on engineering culture.

  • Build and mentor top-tier technical talent in cloud reliability, resilience, and quality automation.

  • Partner with HR and REO Enablement to develop succession plans and technical competency frameworks.

Core Technical Competencies

  • AWS (primary) - Multi-account design, HA architecture, region failover, resilience automation, Terraform/CDK/CloudFormation.

  • Azure & GCP (secondary) - Compute, networking, and reliability constructs; hybrid cloud design and failover integration.

  • Infrastructure as Code (IaC) - Deep proficiency in Terraform, policy-as-code (OPA/Conftest), drift detection, pipeline integration.

  • Reliability & Chaos Engineering - AWS Fault Injection Simulator, Gremlin, steady-state hypothesis design.

  • Observability & Quality Automation - OpenTelemetry, Prometheus, CloudWatch, K6, Gatling; CI/CD quality gates and dashboards.

  • Performance Engineering - Load, stress, and soak testing automation; performance profiling and SLO alignment.

  • Disaster Recovery Automation - Cross-region orchestration, IaC-driven DR runs, replication validation.

  • FinOps/GreenOps - Cloud cost and efficiency automation, carbon-aware scaling policies.

Leadership Competencies

  • Strategic Technical Leadership: Operates at the intersection of deep engineering and executive strategy.

  • Multi-Domain Collaborator: Integrates reliability and resilience across architecture, operations, and business domains.

  • Talent Multiplier: Develops and empowers senior managers, fostering engineering mastery and innovation.

  • Credible Technical Authority: Trusted peer to Infrastructure & Reliability Engineering; capable of leading architecture reviews and executive briefings.

  • Change Champion: Drives transformation of reliability practices across platforms, pipelines, and teams.

Qualifications & Experience

  • 12+ years in cloud engineering, reliability, or platform leadership roles.

  • 5+ years leading Sr. Managers/Managers in technical domains.

  • Proven expertise across AWS, with working knowledge of Azure and GCP.

  • Experience with multi-cloud governance, DR design, IaC at scale, and reliability automation.

  • Strong understanding of observability, SRE principles, and REO/ITIL-aligned reliability frameworks.

  • Certifications:

    • Required: AWS Certified Solutions Architect - Professional

    • Preferred: AWS DevOps Engineer, Azure Solutions Architect Expert, Google Professional Cloud Architect

Success Metrics

  • 99.9% availability maintained for Tier-1 workloads.

  • 100% coverage of DR automation for Tier-1 services.

  • 25% annual increase in automated quality/test coverage.

  • 15% annual improvement in resource efficiency and cost performance.

  • Documented resilience participation across all enterprise architecture blueprints.

  • Positive "technical peer readiness" and succession rating from Head of REO.

Summary Value Proposition

This Director role blends deep AWS reliability engineering expertise, multi-cloud technical breadth, and leadership scale.

It ensures REO maintains both technical depth and leadership redundancy, and it strengthens the bridge between engineering execution and enterprise architecture alignment.

#LI-hybrid **This position will be in a hybrid working arrangement.**


Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

$145,000.00 - $267,000.00

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

  • We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

  • Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

  • Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

  • Mental Wellness and Disability

  • Pride at Securian Financial

  • Securian Young Professionals Network

  • Securian Multicultural Network

  • Securian Women and Allies Network

  • Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here


Remote working/work at home options are available for this role.
Not Specified
View & Apply
Devops CI/CD Engineer - Flexible Hybrid Work Schedule (AUSTIN)
✦ New
🏒 JABIL CIRCUIT, INC
Salary not disclosed
**This position supports hybrid work schedule depending on organization needs.**

RESPONSIBILITIES:

- Architect, design, and maintain scalable CI/CD pipelines using Azure/AWS DevSecOps.

- Build and optimize Docker-based microservices, images, and deployment pipelines.

- Lead deployments across Docker Swarm, Kubernetes/EKS, and multi-location environments.

- Develop infrastructure automation using Ansible, bash scripting, Terraform and Git-based workflow.

- Manage release pipelines using container registries, artifact feeds, template pipelines, and multi-stage workflows.

- Design multi-environment strategies for dev, QA, staging, and production deployment.

- Implement cloud-native services with AWS & Azure cloud platforms.

- Implement basic security practices, including IAM roles, secrets management, and access controls.

- Develop secure, modular, reusable build and release systems.

- Work closely with full-stack engineering teams (Angular, Java, Python , backend APIs, database engineers).

- Mentor junior DevOps engineers and lead DevOps roadmap decisions.

KNOWLEDGE REQUIREMENTS:

DevOps Expertise:

Azure DevOps pipelines, YAML templating, CI/CD strategy, Git branching models.

Containerization & Orchestration:

Docker images, Docker Compose, Docker Swarm, multi-node/multi-location deployments.

Cloud Technologies:

Azure deployments & infrastructure, AWS (IAM, Lambda, S3, CloudWatch).

Programming / Scripting Languages:

Python, Bash, Linux/Unix administration, awk, shell automation, groovy.

Infrastructure Automation:

Ansible playbooks, tasks/roles, inventory design, configuration management.

Distributed Deployment Architecture:

Multi-site replication, node selection by IP, dynamic service routing.

Database Stack Experience:

PostgreSQL, MySQL, MariaDB operations & migrations.

Observability & Logging:

CloudWatch monitoring, log collection, Prometheus, Grafana, reporting & metrics.

Version Control & Build Systems:

Azure Devops, Git, Git submodules, artifact storage, registry solutions, Secrets Management.

Nice to have AI knowledge/experience and willingness to learn.

EDUCATION & EXPERIENCE REQUIREMENTS

- BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred.
- 7+ years experience in a software devops/development/test capacity with enterprise server, storage or networking products.
Remote working/work at home options are available for this role.
temporary
View & Apply
SAP Engineer - Licensing and Compensation (Hybrid)
🏒 Securian
Salary not disclosed
Saint Paul, MN, Hybrid 2 days ago

*Securian Financial the internal position title is Engineering Sr Analyst or Engineering Consultant. Title and salary will be determined based on applied skills.*

Position Summary:

Join theEnterprise Partner Solutions (EPS)team as aLicensing and Compensation Engineer, where you'll drive innovation in partner experience using cutting-edge SAP technologies. This team envisions a future where every financial producer is empowered from day one through intuitive, reliable, and scalable technology. Our engineering team is committed to transforming the producer experience by delivering back-end systems that simplify onboarding, ensure compliance in licensing, and guarantee timely and accurate compensation. We strive to be the trusted backbone of producer operations, enabling our company to grow with confidence and integrity. If you're passionate about engineering solutions that make a measurable impact, this is your opportunity to shape the future of partner engagement at scale.

Responsibilities include but not limited to:

  • Support and maintain SAP technologies related to partner compensation and licensing, including APM (ICM), ALM, OK2, and Advanced Workflow.

  • Perform analysis, design, development, and integration on medium to high level complexity assignments.

  • Develop and support automation capabilities through webservices and APIs.

  • Troubleshoot and resolve incidents across the licensing and compensation platform, including integrations with internal and external systems.

  • Collaborate with product analysts, quality engineers, and business stakeholders to deliver enhancements and ensure platform stability.

  • Analyze job failures, support tickets, and backlog stories to identify trends and drive continuous improvement.

  • Participate in Agile ceremonies and contribute to sprint planning, story refinement, and retrospectives.

  • Document technical processes and contribute to knowledge sharing across the EPS team.

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.

  • 3+ years of experience supporting SAP technologies, preferably in compensation or licensing domains.

  • Familiarity with SAP ICM/APM and ALM modules.

  • Strong problem-solving skills and ability to manage multiple priorities.

  • Excellent communication skills and ability to work cross-functionally.

  • Experience with Agile methodologies and DevOps practices is a plus.

Preferred Qualifications:

  • SAP Certification in relevant Modules

  • Development Languages: Java, Groovy, SQL, Git, IntelliJ, webservices

  • Understanding of compensation payment structures for agents and familiarity with licensing and regulatory compliance frameworks governing producer eligibility to sell products.

  • Ability to work independently and as part of a collaborative team.

  • Commitment to continuous learning and process improvement.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

$72,000.00 - $134,000.00

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

  • We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

  • Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

  • Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

  • Mental Wellness and Disability

  • Pride at Securian Financial

  • Securian Young Professionals Network

  • Securian Multicultural Network

  • Securian Women and Allies Network

  • Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here


Remote working/work at home options are available for this role.
Not Specified
View & Apply
Principal Mechanical Integration Engineer - DCI Pipes, Frames and Structures (REMOTE)
🏒 JABIL CIRCUIT, INC
Salary not disclosed
Kyle, Texas, Remote 3 days ago
Job Title : Principal Mechanical Design Engineer
Job Family : Mechanical Design Engineering
Organization : Data Center Infrastructure Team
Location : Remote* OR Austin, TX
*Requires up to 30% domestic and/or international travel (rare)

How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.

What will you do?

* Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
* Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
* Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
* Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
* Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
* Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
* Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
* Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
* Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
* Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
* Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
* Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
* Lead mechanical design reviews and contribute to cross-functional design validation efforts.
* Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
* Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
* Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
* Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
* Conduct root cause analysis and corrective actions for mechanical failures or field issues.
* Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
* Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
* May perform other duties and responsibilities as assigned

How will you get here?
Education :

* Bachelor's Degree in Mechanical Engineering or related engineering discipline.

Experience :

* 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
* Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
* Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
* Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
* Excellent communication and cross-functional collaboration skills

Knowledge, Skills, Abilities:

* Excellent interpersonal and communication skills
* Creative, self-motivated, accountable, and team-oriented
* Able to work independently with minimal oversight
* Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
* Skilled in writing reports, business correspondence, and procedural guides
* Effective at presenting information and responding to management, clients, and public queries
* Capable of influencing others and sharing best practices
* Comfortable working as part of a global team
* Capable of assessing projects, articulating risks, and developing project milestones
* Familiar with stage-gate processes in project lifecycle management (PLCM)
* Able to mentor less experienced engineers
* Ability to travel both domestically and internationally up to 30%

Preferred Qualifications:

* Master's Degree in Mechanical Engineering
* Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
* Active Professional Engineer (PE) license.
* Knowledge of regulatory and safety standards applicable to data center infrastructure.
* Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
permanent
View & Apply
Lead Mechanical Systems Engineer - Remote Structures and Integration (AUSTIN)
🏒 JABIL CIRCUIT, INC
Salary not disclosed
Austin, TX, Remote 3 days ago

Job Title :Β Principal Mechanical Design Engineer

Job Family : Mechanical Design Engineering

Organization : Data Center Infrastructure Team

Location :Β Remote* OR Austin, TX

*Requires up to 30% domestic and/or international travel (rare)

How will you make an impact?

We are seeking a highly skilled, technically proficientΒ and detail-orientedΒ Principal Mechanical EngineerΒ with expertise inΒ metal structures, frame design, pipes and fabricationΒ to support the development ofΒ power and cooling infrastructureΒ for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.

What will you do?

  • Experience designing and integratingΒ hydronic systemsΒ including pumps, piping networks, valves, and heat exchangers for data center cooling applications.

  • Knowledge ofΒ fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.

  • Understanding ofΒ installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.

  • Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).

  • Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.

  • Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.

  • Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.

  • Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.

  • Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.

  • Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts

  • Select appropriate materials and fabrication methods to optimize cost, performance, and reliability

  • Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.

  • Lead mechanical design reviews and contribute to cross-functional design validation efforts.

  • Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).

  • Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.

  • Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.

  • Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.

  • Conduct root cause analysis and corrective actions for mechanical failures or field issues.

  • Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).

  • Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)

  • May perform other duties and responsibilities as assigned

How will you get here?Β 

Education :

  • Bachelor’s Degree in Mechanical Engineering or related engineering discipline.

Experience :

  • 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.

  • Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).

  • Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must

  • Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required

  • Excellent communication and cross-functional collaboration skills

Knowledge, Skills, Abilities:

  • Excellent interpersonal and communication skills

  • Creative, self-motivated, accountable, and team-oriented

  • Able to work independently with minimal oversight

  • Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations

  • Skilled in writing reports, business correspondence, and procedural guides

  • Effective at presenting information and responding to management, clients, and public queries

  • Capable of influencing others and sharing best practices

  • Comfortable working as part of a global team

  • Capable of assessing projects, articulating risks, and developing project milestones

  • Familiar with stage-gate processes in project lifecycle management (PLCM)

  • Able to mentor less experienced engineers

  • Ability to travel both domestically and internationally up to 30%

Preferred Qualifications:β€―Β 

  • Master’s Degree in Mechanical Engineering

  • Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.

  • Active Professional Engineer (PE) license.

  • Knowledge of regulatory and safety standards applicable to data center infrastructure.

  • Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus


Remote working/work at home options are available for this role.
temporary
View & Apply
Principal Mechanical Integration Engineer – DCI Pipes, Frames and Structures (REMOTE) (AUSTIN)
🏒 JABIL CIRCUIT, INC
Salary not disclosed
AUSTIN, Texas, Remote 3 days ago
Job Title: Principal Mechanical Design Engineer

Job Family: Mechanical Design Engineering

Organization: Data Center Infrastructure Team

Location: Remote* OR Austin, TX

*Requires up to 20% domestic and/or international travel (rare)

How will you make an impact?

We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.

What will you do?

- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.

- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.

- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.

- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).

- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.

- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.

- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.

- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.

- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.

- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts

- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability

- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.

- Lead mechanical design reviews and contribute to cross-functional design validation efforts.

- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).

- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.

- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.

- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.

- Conduct root cause analysis and corrective actions for mechanical failures or field issues.

- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).

- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)

- May perform other duties and responsibilities as assigned

How will you get here?

Education:

- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.

Experience:

- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.

- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).

- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must

- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required

- Excellent communication and cross-functional collaboration skills

Knowledge, Skills, Abilities:

- Excellent interpersonal and communication skills

- Creative, self-motivated, accountable, and team-oriented

- Able to work independently with minimal oversight

- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations

- Skilled in writing reports, business correspondence, and procedural guides

- Effective at presenting information and responding to management, clients, and public queries

- Capable of influencing others and sharing best practices

- Comfortable working as part of a global team

- Capable of assessing projects, articulating risks, and developing project milestones

- Familiar with stage-gate processes in project lifecycle management (PLCM)

- Able to mentor less experienced engineers

- Ability to travel both domestically and internationally up to 30%

Preferred Qualifications:β€―

- Master’s Degree in Mechanical Engineering

- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.

- Active Professional Engineer (PE) license.

- Knowledge of regulatory and safety standards applicable to data center infrastructure.

- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
temporary
View & Apply
Senior Mechanical Systems Engineer - Remote Structures and Piping (AUSTIN)
🏒 JABIL CIRCUIT, INC
Salary not disclosed
Austin, TX, Remote 3 days ago

Job Title :Β Principal Mechanical Design Engineer

Job Family : Mechanical Design Engineering

Organization : Data Center Infrastructure Team

Location :Β Remote* OR Austin, TX

*Requires up to 20% domestic and/or international travel (rare)

How will you make an impact?

We are seeking a highly skilled, technically proficientΒ and detail-orientedΒ Principal Mechanical EngineerΒ with expertise inΒ metal structures, frame design, pipes and fabricationΒ to support the development ofΒ power and cooling infrastructureΒ for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.

What will you do?

  • Experience designing and integratingΒ hydronic systemsΒ including pumps, piping networks, valves, and heat exchangers for data center cooling applications.

  • Knowledge ofΒ fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.

  • Understanding ofΒ installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.

  • Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).

  • Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.

  • Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.

  • Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.

  • Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.

  • Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.

  • Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts

  • Select appropriate materials and fabrication methods to optimize cost, performance, and reliability

  • Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.

  • Lead mechanical design reviews and contribute to cross-functional design validation efforts.

  • Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).

  • Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.

  • Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.

  • Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.

  • Conduct root cause analysis and corrective actions for mechanical failures or field issues.

  • Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).

  • Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)

  • May perform other duties and responsibilities as assigned

How will you get here?Β 

Education :

  • Bachelor’s Degree in Mechanical Engineering or related engineering discipline.

Experience :

  • 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.

  • Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).

  • Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must

  • Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required

  • Excellent communication and cross-functional collaboration skills

Knowledge, Skills, Abilities:

  • Excellent interpersonal and communication skills

  • Creative, self-motivated, accountable, and team-oriented

  • Able to work independently with minimal oversight

  • Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations

  • Skilled in writing reports, business correspondence, and procedural guides

  • Effective at presenting information and responding to management, clients, and public queries

  • Capable of influencing others and sharing best practices

  • Comfortable working as part of a global team

  • Capable of assessing projects, articulating risks, and developing project milestones

  • Familiar with stage-gate processes in project lifecycle management (PLCM)

  • Able to mentor less experienced engineers

  • Ability to travel both domestically and internationally up to 30%

Preferred Qualifications:β€―Β 

  • Master’s Degree in Mechanical Engineering

  • Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.

  • Active Professional Engineer (PE) license.

  • Knowledge of regulatory and safety standards applicable to data center infrastructure.

  • Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus


Remote working/work at home options are available for this role.
temporary
View & Apply
Test Engineering Tech II - 401 Shift Days - Flexible Shift Options for Work-Life Balance (FLORENCE)
🏒 JABIL CIRCUIT, INC
Salary not disclosed

JOB SUMMARY

ESSENTIAL DUTIES AND RESPONSIBILITIES Β· Supports the Test Engineer in the development and commission of test solutions executing the test qualification of the fixture and program as per the specific system qualification process.
Β· Responsibility for providing the deliverables to support the solution in production to both the Test Support Function and Manufacturing Operations.
Β· Assists in the build and manufacture of testers, fixtures and environmental tooling as required to meet the customer expectations.
Β· The Technician Engineer provides the interface to the Test Support function providing comprehensive documentation and training for all test solutions implemented.
Β· Provides the interface to the Manufacturing function providing comprehensive documentation and coordinating training and education for all test operations implemented.
Β· Through working with the Test Support function monitor and contribute to the improvement of Test Yields, Efficiency, Intermittencies and Uptime providing accurate reporting and clear targets for improvement.
Β· In conjunction with the Test Engineer strives to consistently upgrade the test process balancing cost, coverage with the goal of providing an optimized and cost efficient test process.
Β· Works closely with manufacturing and test support to ensure prioritization of support activities. He/ She will be responsible for coordinating the timetable for test readiness based on the weekly production schedule through the appropriate Test Support staff.
Β· May perform other duties and responsibilities as assigned.
JOB QUALIFICATIONS
KNOWLEDGE REQUIREMENTS Β· Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
Β· Ability to define problems, collect data, establish facts, and draw valid conclusions.
Β· Ability to operate a personal computer including using a Windows based operating system and related software.
Β· Advanced PC skills, including training and knowledge of Jabil’s software packages.
Β· Ability to write simple correspondence. Read and understand visual aid.
Β· Ability to apply common sense understanding to carry out simple one- or two-step instructions.
Β· Ability to deal with standardized situations with only occasional or no variables.
Β· Ability to read and comprehend simple instructions, short correspondence, and memos.
Β· Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
Β· Ability to compute rate, ratio, and percent and to draw and interpret graphs.
Remote working/work at home options are available for this role.
temporary
View & Apply
jobs by JobLookup