Engineering Structures Impact Factor Jobs No Experience Jobs in Ca

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.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

• 
  
• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

• 
  
• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

• 
  
• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related 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.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

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

#LI-REMOTE

#LI-AH2

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.

Our Commitment to Inclusion:

Summary:

The Senior Manufacturing / Process Engineer is responsible for developing, implementing, and improving manufacturing processes for electronic assemblies in a high-mix, low-volume environment. This role supports both the U.S. and Vietnam facilities, ensuring process repeatability, cost efficiency, and product quality across SMT, Through-Hole, and system assembly operations. The senior manufacturing process engineer will report directly to the VP of operations.

Goals:

• Build products and provide services with the highest Flexibility, Productivity, and Quality.
• Achieve total customer satisfaction through technical excellence and responsive engineering support.
• Ensure successful NPI launches through cross-functional collaboration, process validation, and data-driven feedback to design and quality teams.

Objectives:

1.      Support production operations in the following categories:

a.      Reduce downtime caused by engineering issues (programming, MPI errors, tooling, design, or line stoppage).

b.      Improve quality yield through root cause analysis, corrective actions, and robust process setup.

c.      Lead NPI and prototype builds, ensuring process readiness, documentation completeness, and manufacturability validation prior to production release.

2.      Provide engineering services to meet customer needs and expectations in the following areas:

a.      Design for Manufacturability (DFM).

b.      Manufacturing Process Instruction (MPI) creation and maintenance.

c.      Engineering Change Order (ECO) implementation.

d.      Defect Reduction Team (DRT) meetings and follow-up actions.

e.      Failure analysis and corrective action documentation.

f.       Develop and validate new or modified processes, including process capability studies, DOE validation, and reflow/wave solder profile optimization

g.      Other engineering requests as required by customers or management.

Job Description:

SMT / Through-Hole / 2nd Ops / 3rd Ops Process Support

1. Review daily SMT or build schedule to ensure process readiness.
2. Confirm all required items are complete and available prior to production:
3. Job package with full build documentation.
4. Manufacturing Process Instruction (MPI) reviewed and approved.
5. Routing definitions for data collection.
6. Validated reflow or wave solder profiles.
7. ECOs, deviations, or special instructions incorporated into the MPI and/or job package.
8. All required tooling available and verified.
9. Review pre-build DFM, document known defects, and hyperlink details in the MPI.
10. Lead cross-functional NPI kickoff meetings to review design requirements, risk areas, and special process considerations.
11. Document and track NPI issues and lessons learned for future builds.
12. Coordinate with Program Managers to resolve DFM showstoppers prior to build.
13. Analyze previous quality data, identify recurring defects, determine root causes, and implement corrective actions.
14. Design, order, and verify all required tooling (stencils, wave solder pallets, press-fit fixtures, conformal coat fixtures, etc.).
15. Maintain tooling logs, labeling, and readiness tracking within Omega Build Readiness.
16. Inspect and sign off first article setups for critical processes (stencil printer, reflow oven, wave solder, etc.) using the First Article Checklist.
17. Inspect initial boards after print and reflow for solder release, bridging, voids, and process anomalies. Document findings and sign off the First Article Report.
18. Provide on-the-floor training for operators and technicians regarding new processes, corrective actions, or observed deficiencies.
19. Support production by promptly responding to technical inquiries or line support issues.
20. Exercise full authority to stop the line if repeated defects or safety concerns are observed.

Quality Data Review & Root Cause Analysis

1. Review production data in Omega Data Collection, identifying root causes and corrective actions.
2. Review Daily, Weekly, and Customer Quality Reports to identify trends, recurring issues, or process gaps.
3. Provide structured analysis and report findings to Quality and Production (using 8D or equivalent methodology).
4. Document corrective actions and verify implementation during the next production run.
5. Present findings and improvement updates in internal and customer quality meetings.

Other Responsibilities:

1. Create and submit Post-Build DFM reports to Program Managers with improvement recommendations.
2. Implement and validate ECO changes per revision control procedures.
3. Perform and document detailed failure analyses for internal and customer returns.
4. Participate in process improvement projects and defect-reduction initiatives.
5. Provide customer-driven engineering services or special support requests.
6. Develop and deliver internal technical training for operators and peers.
7. Support ISO 9001 and AS9100 activities, including audits, documentation, and Work Instruction updates.

Qualifications:

• Bachelor’s degree in Manufacturing, Industrial, or Mechanical Engineering (or related discipline).
• 8–12 years of hands-on experience in electronics manufacturing (PCBA, box-build, system integration).
• Deep understanding of SMT, Through-Hole, and system assembly processes.
• Proficient in process validation, FAI, SPC, DOE, and yield improvement.
• Familiarity with FactoryLogix and related MES/ERP systems.
• Experience leading NPI builds and developing new assembly processes from prototype through production release.
• Familiarity with DFM/DFT analysis tools and PCB CAD systems (e.g., Altium, Valor, Mentor).
• Experience with Lean, Six Sigma, and structured problem-solving tools.
• Strong communication and analytical skills with the ability to multitask in a fast-paced environment.
• U.S. Citizen or Permanent Resident (ITAR requirement).

Compensation:

$120-$150K Annually

Benefits:

Medical

Dental

Vision

401K + Roth 401K

Vacation

Paid Holidays

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.

This role sits at the intersection of advertiser experience and ad creative, owning the tools and workflows that help advertisers create, manage, and optimize the right ad for the right Pinner at scale. You'll shape how creative assets are uploaded, organized, and activated across campaigns, including new AIpowered and automated solutions. Your work will directly impact how efficiently advertisers of all sizes can create onbrand, highperforming campaigns, and will be a key driver of Pinterest Ads revenue growth.

What you'll do:

• 
  
• Own and evolve core surfaces in Ads Manager, where advertisers of all sizes plan, buy, optimize, and measure their campaigns.
  
• Build endtoend solutions that help advertisers upload, manage, and promote ad creatives, including creative libraries, templates, and creative automation tools.
  
• Partner closely with engineering, design, data science, marketing, sales, and operations to define, align on, and ship improvements for both selfserve and managed advertisers, across global markets.
  
• Deeply understand advertiser and agency workflows through research, data, and customer conversations; translate those insights into clear product requirements and roadmaps.
  
• Explore and ship AIpowered and automated creative solutions that help advertisers scale highquality Pinterestnative creative.
  

What we're looking for:

• 
  
• Experience with digital advertising and performance marketing: You understand performance ads concepts (e.g., optimization goals, bidding, attribution, creative testing) and how creative impacts performance.
  
• Strong product discovery skills: You're comfortable talking to customers, mapping workflows, validating problems, and translating insights into clear product strategies and roadmaps.
  
• Proven success leading crossfunctional teams: You've driven alignment and shipped products with engineering, design, marketing, sales, and operations partners in a fastpaced environment.
  
• Comfort with ambiguity and a bias for action: You can bring clarity to ambiguous problem spaces and move quickly while keeping stakeholders informed.
  
• Excellent communication of complex topics: You can explain technical concepts and tradeoffs to nontechnical audiences and drive clear decisions.
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
  

Relocation Statement:

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

• 
  
• 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 will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE
#LI-REX

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.

Our Commitment to Inclusion:

Location: Hybrid: Los Angeles, Remote: Pacific Time Zone

Department: Game Design

Employment Type: Full-time

About the Role:

Refactor Games is a AAA sports video game studio. We are developing the next generation of professional football (soccer) video games using Unreal Engine 5.

We are seeking a highly skilled Technical Game Designer to design, implement, and iterate core game systems that define how our AAA European football video game feels, behaves, and engages players — across gameplay, modes, progression, and meta structures. You’ll work hands-on within Unreal Engine (Blueprints and scripting) to prototype, tune, and ship systems while bridging the gap between creative design vision and engineering execution.

In this role, you’ll collaborate closely with designers, engineers, animators, UX, and production to ensure our football systems, from player mechanics to match-level logic, are robust, reusable, well-documented, and optimized for performance.

** All applications must include a Cover Letter. Please detail your past experience with Sports Game development and relevant soccer experience/fandom, if applicable. **

Experience:

• 3+ years of professional game design or technical design experience.
• Including work on at least one shipped title (AAA or high-quality).

What You'll Work On:

• Implement gameplay systems using Unreal Engine Blueprints and gameplay scripting, ensuring fidelity, performance, and scalability across content.
• Prototype new systems and features rapidly in editor and iterate based on feedback from design reviews and playtests.
• Collaborate with engineering to define architecture, data flow, and scripting standards for game systems.
• Tune system behavior for balance, player experience, and performance, using telemetry and designer instinct.
• Work with multidisciplinary teams (AI, animation, UX, economy, live ops) to ensure game systems integrate cleanly across features.
• Write clear documentation including design specs, variable definitions, use cases, and technical expectations.
• Debug gameplay logic and support QA in identifying issues, performance bottlenecks, and systemic edge cases.
• Support ongoing game content updates, seasonal content pipelines, and live tuning processes.

Requirements:

• Hands-on experience with Unreal Engine 5 workflows, including Blueprints and gameplay scripting.
• Strong understanding of gameplay systems design, including mechanics, progression logic, and modular systems.
• Ability to implement, test, and optimize systems in engine with iterative prototyping.
• Ability to work collaboratively with programmers and other designers to deliver system features.
• Solid documentation and communication skills, articulating design intent and technical constraints.
• Passion for football (soccer) games and understanding of how systems support player engagement.

Bonus Points:

• Experience working on sports titles or competitive multiplayer games.
• Familiarity with networked gameplay replication, gameplay abilities, and data-driven systems.
• Experience with Unreal Engine C++ integration, data asset workflows, and gameplay scripting conventions.
• Ability to leverage player data and analytics to refine systems over time.
• Experience designing systems for live content cadence, progression balance, and seasonal features.

What We Offer:

• Opportunity to influence core systems in a major AAA football game and work on cutting-edge features.
• Cross-discipline collaboration with designers, engineers, and live operations teams.
• Competitive compensation, and benefits.
• Career growth opportunities into Senior or Lead Technical Design positions.

• Valid CDL-A and 3+ months of current experience required
• This lane is not suitable for students, recent grads, or trainees

• Home 2 days every 2 weeks
• Drivers average $78,000 annually - Top 10% earn up to $97,000 per year*
• Mileage pay
• Safety bonus incentives
• Top-of-the-line automatic transmission trucks
• Dry-van trailers pulling no-touch freight

• Full benefits package for you and your family
• 401(k) participation
• Paid time off & bonus incentives
• Unlimited cash referral program

Dedicated Anheuser Busch Fleet is looking for experienced CDL-A drivers to run Solo. This is a dry van operation hauling Anheuser-Busch products within 48 states. Delivery locations include, but are not limited to: WA, OR, CA, NV, AZ, WY, CO, NM, NE, KS, OK, TX, IA, MO, AR, LA, MS, TN, KY, IL, IN, AL, GA, FL, VA, and OH. Drivers on this fleet will operate condo trucks and dry van trailers delivering no-touch freight. Loads at some locations will be drop-and-hook, while others will involve live unloading or reloading. The estimated MPU for drivers is 2,500 miles per week, this will vary based on customer demand.

If you have what it takes to service one of our dedicated customers with the highest degree of customer service and integrity, we want to speak with you.

• Valid CDL-A and 3+ months of current experience required
• This lane is not suitable for students, recent grads, or trainees
• Must be 21 years or older
• Must be able to pass a DOT drug screen

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Senior Software Engineer - Engineering Productivity at Reliable Robotics, you will design, and implement software to support the development, analysis, and certification of automated aircraft systems. You will work closely with product owners and end users to develop solutions that enable and optimize engineering development workflows. The software you produce will be critical to the development and certification of the first fully autonomous aircraft.

Responsibilities

In your role as an internal tool developer, you will develop applications, infrastructure, and tools used by engineering to capture product requirements and interface definitions, model the product architecture and design, and reduce and analyze flight and lab test data. You will supercharge the engineering organization's efficiency and effectiveness by streamlining tools and processes. You will work with other teams and stakeholders to establish technical and UX design requirements for these projects and own the "plan, code, build, test, release, deploy" lifecycle of these applications and services.

Basic Success Criteria

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience

• 5+ years experience with professional full stack web development in a team setting

• Professional experience with core browser technologies (JavaScript, HTML, CSS) and TypeScript

• Experience structuring dynamic, model-driven data and determining data relationships

• Experience working with SQL, NoSQL, and time series databases

• Experience designing software architecture for both new and existing projects

Preferred Criteria

• Experience using Python and libraries such as pandas, matplotlib, and django

• Experience integrating with cloud platforms and infrastructure tools such as AWS, Terraform, and Docker

• Experience designing and implementing ingestion pipelines for high-throughput streams of real-time telemetry

• Experience integrating business intelligence and data visualization tools such as Tableau, Power BI, Superset, Metabase

• Experience developing React components and reusable libraries/tools for developers

At Reliable Robotics, we believe that our internal tools are key ingredients to our success. Aircraft design, integration, and certification are highly complex processes requiring diligent management of data and their relationships. Traditionally a paper process, our tools enable our system designers to move faster, conduct more thorough and comprehensive analyses, and design safer aircraft systems. Come be a part of taking our products to the next level.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $215K - $300K

Business Area:

Seniority Level:

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.

Cloudera is looking for a strong engineering leader with a distributed systems background to lead a team within the Storage Engineering group, focused on building Apache Ozone and Apache HDFS. The Storage team is responsible for primary storage and storage access layers, which are core to the Cloudera Data Platform.

Apache Ozone is an open source, massively scalable, distributed object store with a distributed file system interface. Ozone is designed to scale to tens of billions of files and blocks, and overcome the limitations of Hadoop Distributed File System (HDFS), namely, millions of small files and managing a huge number of data nodes.

Ozone is one of the fastest-growing products inside CDP in terms of customer adoption and expansion revenue. This is an opportunity to lead a team that created and wrote most of the Ozone code and make a huge impact on the big data storage industry.

**This is an onsite role for our HQ in Santa Clara, CA**

As a Sr. Manager, Engineering you will:

• Manage and lead a team of talented engineers and senior individual contributors based in North America.

• Develop and execute on a technical roadmap and strategy for your team, aligning with the department's vision and the company's business goals.

• Lead and mentor a team of software engineers, including senior and principal-level contributors, fostering a culture of technical excellence and innovation.

• Partner with Engineering leaders, product managers, and partner teams to understand requirements, develop solid designs and implementations, and facilitate integration and adoption.

• Drive and enforce best practices for the software development lifecycle, including coding standards, testing, deployment, system scalability, reliability, and security, tracking key performance indicators for engineering quality and efficiency.

• Communicate team progress, successes, challenges, and strategic plans clearly and transparently to engineering leadership and other business stakeholders.

• Oversee team resources, staffing, mentoring, and enhancing a best-of-class engineering team.

• Work closely with customers in various geographies and partner teams (like PS and support) to ensure successful adoption of Ozone and provide technical guidance for enterprise customers running 100s of petabytes-scale big data analytics and ML/AI pipelines.

• Guide the team in contributing to the Apache open-source community.

We are excited if you have (Required Qualifications):

• Experience: 8+ years of experience in software engineering, with 2+ years in an engineering management role.

• Domain Expertise: Demonstrable experience with the design, implementation, and operation of large-scale distributed systems, particularly in storage, file systems, databases, or cloud infrastructure.

• Technical Depth: Strong understanding of fundamental storage concepts (e.g., consistency, replication, erasure coding, caching).

• Management Skills: Proven track record of leading and managing high-performing engineering teams, demonstrating excellent communication and organizational skills.

• Communication: Excellent written and verbal communication skills. If you can point to publicly available papers, technical articles or blog posts that is a huge plus.

• Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.

You may also have:

• Prior experience contributing to or leading large-scale open-source projects.

• Familiarity with the Apache Hadoop big data ecosystem (HDFS, YARN, Hive, Impala, Spark) or related distributed data frameworks.

• Experience with specific commercial or open-source distributed storage technologies (e.g., Ceph, Gluster, ZFS, S3-compatible systems).

• Experience managing remote or hybrid engineers.

Why this role matters:

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.

This role is not eligible for immigrationsponsorship.

The expected base salary range for this role in

• California is $203,000 - $254,000

The salary will vary depending on your job-related skills, experience and location

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

#LI-SZ1

#LI-REMOTE

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.

We're seeking an Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love.

What you'll do:

• 
  
• Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage
  
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
  
• Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
  
• Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
  
• 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
  
• 8+ years of relevant industry experience in leading the design of large scale & production distributed systems.
  
• Deep knowledge with building distributed systems.
  
• Strong cross-functional collaborator and communicator.
  
• Strong people development skills.
  
  

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 will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

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

#LI-HYBRID

#LI-AH2

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.

Our Commitment to Inclusion:

Title: Engineering technician/ Equipment technician

Work Location: Fremont, CA 94538

Duration: 12 Months

Job Type: Temporary Assignment

Work Type: Onsite

Shift: Grave shift 10:30pm-6:30am

Pay rate: $3 /hr.

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.

Job Description:

We are seeking a person capable of running an Intevac 200L sputter machine in a proficient manner to fulfill the requests for the Media Development Engineering organization. Tasks and duties will include processing experiments precisely as documented or requested by the Engineering staff. Requirements are to work in class 10 /100 cleanroom environment, follow all procedures and protocols, follow instructions well, provide feedback to coworkers/leads in a constructive/positive manner, provide technical support and suggestions to Engineering, run sputter machines efficiently and effectively, collect sputter related data on metrology tools, maintain excellent documentation, work collaboratively in a team environment to help exceed goals. These items listed below CAN be trained.

Pilot Line Operations includes - processing of the media through various media processes and equipment which includes but is not limited to the following:

• Processing of experiments for the Engineering team - processing discs through the various tools, measurement of the media, data entry, and feedback to engineering and management of the results.
• Work inside of a cleanroom - 100% PPE suits from head to toe with masks and safety glasses are required.
• Job requires a good amount of movement (walking - 50% depending on the job) to retrieve parts from point A to point B in many cases.
• Reaching is required in many cases to load and unload products onto racks, machines, etc., typically ranging from 24 inches to 53 inches not exceeding 10lbs.
• Many cases cart is provided for the transport of product, but hand carrying of product/material is required majority of the time as well.
• Computer skills are required in all the areas since the machines and the processes require computer and software interface. Interaction with Engineering is required via email, phone and excellent understanding and communication skills are required. Comprehension of correct recipes, file savings, instructions are followed precisely. Detailed use of excel is a must and understanding of Windows.
• Job requires stepping onto step stools to reach platforms for the processing of parts, as well as bending/kneeling in tight spaces for access to back of tools for process checks.
• Manual dexterity is needed in some areas to perform tape changes, adjustments based upon data received from Engineering or checklists. MDW process requires detailed manual dexterity with ESD sensitive parts and miniature assembly.
• Many of the jobs require cross training to be able to utilize the employees efficiently for planning purposes and downtime in areas.
• Saturday workday is required and part of their schedule in many cases and overtime is required.
• Must be able to focus, excellent attendance, comprehension, enthusiastic in performing their jobs, communicate detailed information well, pay attention to details, and have a good attitude and work ethics, and a true team player in getting tasks at hand completed in a timely manner.

Required qualifications:

• No previous experience required – on the job training will be provided
• Proficient computer skills (Microsoft Office – email, basic Excel, Word, and PowerPoint)
• Excellent communication skills
• Professional, reliable, responsible, dependable, etc

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.