Difference Between Engineering And Engineering Technology Jobs in Usa

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 Sr. Production and Engineering Technician at Reliable Robotics, you will be a part of the Production organization. This is a small but growing team of highly motivated people passionate about delivering quality products and services on time, with unquestionable value. You'll play a critical role in the build, operation, integration, test, diagnostics, inspection, and maintenance of highly reliable systems, including electro-mechanical assemblies, wiring harnesses, components, and subassemblies. You'll also help with the installation of those systems onto aircraft. Your work will support various product development phases such as prototype, research and development, aircraft certification, and recurring production. This is a fantastic opportunity to serve as the last line of defense for ensuring that our safety-critical systems are reliable and produced to the intended engineering requirements.

Responsibilities

• Build, operate, integrate, test, diagnose, inspect, and maintain highly reliable systems, including avionics and electromechanical assemblies, wire harnesses, and circuit card assemblies

• Read, interpret, and work from drawings, controlled documentation, and processes such as drawings, layouts, assembly procedures/work instructions, schematics, engineering drawings, and master parts lists

• Develop and improve manufacturing and installation instructions

• Assure product and process quality by testing finished-product and process capabilities

• Resolve product non-conformances and collaborate with the quality team to implement corrective actions

• Record work performed in a clear, precise, and complete manner

• Assist with the development of production and improvement processes

Basic Success Criteria

• 7+ years of professional experience building and testing electromechanical assemblies, fabrication, integration, or mechanical assembly experience

• 4+ years of hands-on experience reviewing technical designs and working from drawings, schematics, layouts, assembly/procedures, master parts lists, and other controlled documentation

• Ability to proficiently use a PC/Mac, Google Suite, manufacturing execution systems, JIRA, or equivalent tools

• Ability to lift 25-pound boxes to a height of 3-4 feet, with or without reasonable accommodation

Preferred Criteria

• IPC and/or J-STD certification

• Experience working in an electro-mechanical manufacturing company, a precision manufacturing company, or a high-volume manufacturing company

• Electro-mechanical assembly and prototype development experience

• Experience setting up and running tests and experiments

• Experience with electrical wiring

• Soldering experience

Our team is passionate about delivering on our commitments, solving hard problems, continuously improving, and helping the business succeed. We are constantly reevaluating our technologies, products, and capabilities. If you are a lifelong learner, you will love this environment. Get in on the ground floor and help us build the company.

The position will be located at our facility in Mountain View, California.

Must be willing to travel up to 10% of the time.

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: $125K - $145K

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.

Our Commitment to Inclusion:

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.

Our Commitment to Inclusion:

Our client in the public infrastructure sector is seeking an Engineering Program Manager responsible for overseeing program-level planning, budgeting, scheduling, and delivery across large capital initiatives. They will be primary liaison across design, construction, and line departments to ensure alignment of engineering deliverables with approved budgets, schedules, and total project cost.

Duration: 1 yr

Location: Hybrid New York, NY

Clearance: Security background check

Responsibilities:

• Lead end-to-end management of engineering projects across the full lifecycle (initiation, planning, execution, monitoring, and closeout)
• Coordinate program-level budgets, schedules, and deliverables across major capital projects and operating plans
• Act as the primary point of contact for Engineering from design through construction, ensuring alignment with approved scope, budget, and timelines
• Partner with engineering, construction, and line departments to develop work plans, define project scope, and assess feasibility and deliverability
• Establish project economics, timelines, and resource plans in collaboration with key stakeholders
• Coordinate internal teams and external consultants (engineering, design, and professional services) to advance projects through design milestones
• Monitor project performance and proactively develop recovery plans to address risks, delays, or scope changes
• Lead risk identification, establish risk parameters, and implement mitigation and contingency strategies
• Facilitate and lead regular project meetings, ensuring alignment across stakeholders and timely decision-making
• Coordinate with internal departments to establish agreements, force accounts, and other project-related requirements
• Prepare and present project status reports, including risks, forecasts, and recommendations, to senior leadership and executive stakeholders
• Support capital planning efforts including prioritization, budgeting, and long-term program development
• Ensure adherence to project management standards, cost controls, scheduling practices, and compliance requirements

Requirements:

• Bachelor's degree in Architecture, Engineering, or a related field
• Minimum of 10 years of experience in progressively responsible roles delivering large-scale architectural/engineering and construction projects
• Demonstrated experience managing complex capital programs, including design and construction phases
• Strong expertise in project lifecycle management, including scope definition, scheduling, budgeting, and execution
• Proven experience in cost control, change management, and schedule management within large infrastructure projects
• Solid understanding of multidisciplinary engineering and construction principles
• Experience working with diverse stakeholders including internal teams, external consultants, regulatory agencies, and utilities
• Strong leadership, stakeholder management, and team coordination capabilities
• Excellent communication, presentation, and client-facing skills
• Demonstrated ability in problem-solving, decision-making, and conflict resolution
• Knowledge of capital planning, procurement processes, and risk management frameworks
• Professional certifications such as P.Eng (PE), RA, PMP, or LEED

Job description:

Telescent Inc. is a rapidly expanding high-technology company specializing in innovative network management systems. Based in Irvine California, our cutting-edge solutions leverage artificial intelligence and robotic systems to optimize data center operations worldwide, helping clients reduce costs and enhance efficiency through our patented technologies.

Position

We are seeking a dynamic Manufacturing Engineer to join our team and drive excellence in our manufacturing processes. In this role, you will be instrumental in designing, developing, and improving manufacturing systems for our advanced products. Your expertise will ensure seamless production workflows, enhance quality standards, and support continuous improvement initiatives across our manufacturing facility.

Responsibilities

• Develop and implement manufacturing processes for complex electronic and mechanical components, including plastics injection molding, CNC machining, and assembly line operations
• Utilize CAD software such as AutoCAD, SolidWorks, and Creo to design tooling, fixtures, and process layouts
• Program and troubleshoot programmable logic controllers (PLCs), robotics, CNC machines, and vision inspection systems to optimize automation
• Conduct root cause analysis on production issues to identify defects or inefficiencies and implement corrective actions
• Collaborate with process engineering teams to refine manufacturing workflows aligned with ISO 9001 standards and lean manufacturing principles
• Create detailed schematics, technical drawings, and process documentation for manufacturing equipment and industrial systems
• Support factory experience initiatives by applying mechanical knowledge to improve fabrication, tooling, welding, and assembly processes

Skills

• Strong project scheduling skills to manage multiple process improvement initiatives simultaneously
• Expertise in industrial engineering concepts including process engineering and factory layout design
• Proficiency in CAD tools such as AutoCAD, SolidWorks, Creo, and CAM programming for manufacturing applications
• Hands-on experience with robotics programming, vision inspection systems, CNC programming, and industrial equipment maintenance
• Knowledge of plastics injection molding techniques and tooling design for high-precision components
• Ability to perform root cause analysis using structured problem-solving methods
• Familiarity with schematics, GD&T (Geometric Dimensioning & Tolerancing), and industrial schematics for equipment troubleshooting
• Mechanical knowledge related to fabrication, welding, tooling development, and assembly line optimization
• Experience working within a manufacturing facility environment with a focus on continuous improvement practices
• Join us to be part of a forward-thinking team that values innovation, precision engineering, and operational excellence. Your contributions will directly impact the efficiency of our manufacturing processes while supporting the development of groundbreaking technologies used globally.

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Work Location: In person

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

QA / Quality Engineering Delivery Lead

Location: Secaucus, NJ (Hybrid – 3 days onsite)

Employment Type: Full-time / Contract

Experience: 12–15 years

Domain: Retail

Role Overview

We are seeking a QA / Quality Engineering Delivery Lead to own end-to-end quality delivery while driving QE transformation and modernization initiatives, including AI-augmented testing and intelligent automation frameworks. This role demands a tool-agnostic automation mindset, strong leadership capabilities, and the ability to balance BAU delivery with future-ready QE transformation, leveraging GPT-based testing and AI-led quality practices.

Key Responsibilities:

• Own quality outcomes across programs, releases, and product lines
• Lead day-to-day BAU QA delivery, including:
• Test planning & execution
• Defect management
• Release validation and go/no-go readiness
• Drive QE assessments and build continuous improvement & transformation roadmaps
• Define and execute modern test automation strategies across:
• UI, API, Mobile, and End-to-End (E2E) automation
• Lead AI-augmented testing initiatives, including:
• GPT/LLM-based test case generation
• Intelligent test design and risk-based testing
• Self-healing automation and test optimization
• Promote shift-left and shift-right testing by partnering with:
• Product Management
• Engineering
• DevOps and SRE teams
• Embed quality early in the SDLC through CI/CD and cloud-native testing
• Establish and track quality metrics, KPIs, and dashboards
• Provide clear visibility into quality status, risks, and dependencies for senior stakeholders
• Mentor QA/QE teams and foster a continuous improvement and innovation culture.

Required Skills & Experience

Must Have

• 10–14 years of experience in QA / Quality Engineering
• Proven leadership experience managing QA/QE teams in Agile & DevOps environments
• Strong hands-on expertise in test automation frameworks, including:
• Selenium, Playwright, Cypress (any one or more)
• Exposure to Tricentis Tosca (preferred but not mandatory)
• Solid experience in:
• API & integration testing
• Test data management
• Defect lifecycle management
• Demonstrated experience conducting:
• QE maturity assessments
• Automation ROI analysis
• QE transformation planning
• Ability to manage BAU delivery alongside modernization and innovation initiatives
• Strong Retail domain experience (POS, eCommerce, supply chain, merchandising systems preferred)

AI-Augmented & Intelligent QE (Mandatory Focus)

• Hands-on or leadership experience with AI-driven QE practices, including:
• GPT / LLM-based test case & test scenario generation
• AI-assisted exploratory testing
• Intelligent test selection, prioritization, and impact analysis
• Experience building or adopting intelligent automation frameworks with:
• Self-healing capabilities
• Dynamic locators & adaptive scripts
• Familiarity with:
• Generative AI usage in QE pipelines
• Prompt engineering for test generation
• Ability to operationalize AI in QE, not just PoCs

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Boeing Commercial Airplanes (BCA) is looking for an Airplane Systems Design Engineering Senior Manager (Level L) to join the 787 Systems Organization in North Charleston, SC.

The 787 Systems organization is responsible for a multitude of mechanical, electrical, electronic, pneumatic, and hydraulic systems that range from simple to highly complex and highly integrated.

As the Design Engineering Senior Manager, you will develop and support these systems and their components in a sustaining production environment. Project examples include addressing design obsolescence, developing product improvements, optimizing design for production, and optimizing designs for reliability. To accomplish this, the Design Engineering manager works both internally and externally with a global network of partners and suppliers.

Position Responsibilities:

• Manages employees and managers performing engineering and technical activities in the areas of Electronic and Electrical Engineering

• Develops and executes project and process plans, implements policies and procedures and sets operational goals

• Acquires resources for projects and processes, provides technical management of suppliers and leads process improvements

• Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports

• Provides oversight and approval of technical approaches, products and processes

• Manages, develops and motivates employees

Basic Qualifications (Required Skills/Experience):

• Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry

• 5+ years of experience in the Aerospace industry

• 2+ years of experience leading cross-functional teams

• 2+ years of experience leading and/or managing complex projects

• 2+ years of experience or familiarity with aircraft design and airplane systems

Preferred Qualifications (Desired Skills/Experience):

• 5+ years of experience leading teams in a formal and/or informal leadership role

• 5+ years of experience working with aircraft systems

• Experience supporting commercial aircraft production systems

• Experience managing external supplier partnerships

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.  

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work.  

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.  

Summary Pay Range: $170,000 - $230,000

Applications for this position will be accepted until Apr. 16, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Open date: August 20, 2025

Most recent review date: Thursday, Sep 4, 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: Thursday, Aug 20, 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.

The Department of Nuclear Engineering at the University of California, Berkeley is generating an applicant pool of qualified temporary instructors to teach regular and Summer Session courses, should an opening arise. In addition to classroom/laboratory teaching and preparation, general duties may include (but are not limited to) managing and mentoring graders and/or graduate student instructors (teaching assistants), holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and maintaining a course website.

We are also seeking applicants for hourly Teacher Special Programs (TSP), should an opening arise. The TSP instructor's principal responsibility will be overseeing capstone projects in the Master of Engineering (MEng) program of the Nuclear Engineering Department. This will include the following tasks: Designing and proposing capstone projects. Helping match students into suitable projects. Meeting 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.

Department:

Master's degree or equivalent international degree at the time of application.

For Lecturers: Five years of experience in industry or a

research institute, or a Ph.D. or equivalent international degree by the start of the appointment.

For TSPs: Two years of experience in industry or a research

institute, or a Ph.D. or equivalent international degree by the start of the appointment.

Lecturer Positions:

Demonstrated excellence in teaching

Experience teaching college-level courses

A higher-level degree and/or prior teaching experience is preferred in one of the following specializations.

Specializations include, but are not limited to:

Nuclear Engineering

Nuclear Physics, Nuclear Reactions, Nuclear Detection

Radioactive Waste Management

Nuclear Fuel Cycle

Radiation Biological Effects, Dosimetry, Radiation Protection

Radiation Transport, Reactor Physics

Engineering Thermodynamics

TSP Positions: Mentoring experience in one or more of the related engineering fields/specializations or comparable experience/training.

Nuclear

Mechanical

Chemistry

Physics, etc.

Experience in supervising teams of researchers at the graduate level and experience working in industry and/or a research institute.

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

  
  

• Cover Letter - 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.

  
  

• Statement of Teaching - Summary of Teaching experience/philosophy for lecturer positions or Mentoring/teaching statement for TSP positions.

  
  

• 2 required (contact information only)

Help contact:

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
  

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:

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• 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:

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• 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: