General Motors

Senior ML Infrastructure Engineer - Embodied AI Scaling Foundations

General Motors • $153K — $234K *
Sunnyvale, CA 94087Hybrid
Consumer Technology
Less than 5 years of experience
Reposted Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 3+ years of experience building large-scale distributed systems or advanced ML applications.
  • Proven track record of developing robust frameworks with long-lasting APIs.
  • Deep understanding of machine learning algorithms and their applications.
  • Expertise in creating reliable systems using modern cloud infrastructure.
  • Hands-on experience with the entire ML development lifecycle and MLOps practices.
  • Strong collaboration skills across multiple teams and organizations.
  • Proficient in containerization and orchestration technologies like Docker and Kubernetes.
  • Exceptional coding skills in Python or C++.

Responsibilities

  • Lead the design and implementation of scalable platforms for ML model training and evaluation.
  • Own complex technical projects and make key architectural decisions.
  • Holistically evaluate project impacts across multiple teams and prioritize technical initiatives.
  • Mentor and onboard junior engineers and interns to support their career growth.
  • Drive collaboration with partner teams to maximize system benefits.

Benefits

  • Variety of health and wellbeing benefit programs including medical, dental, and vision coverage.
  • Retirement savings plans and life insurance options.
  • Tuition assistance programs and employee assistance programs.
  • GM vehicle discounts.
  • Paid vacation and holidays.
Full Job Description
Job Description

Role Overview:

Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI Infra Foundation team at General Motors, where we build the critical infrastructure that powers every machine learning engineer working on our cutting-edge Autonomous Driving models. From foundational models to state-of-the-art optimization, our work is at the heart of our mission.

About the team:

Our goal is simple: dramatically accelerate the machine learning development cycle, freeing our engineers to focus entirely on enhancing the safety and performance of the car, rather than managing infrastructure. We are committed to delivering products that are performant, easy to use, and exceptionally reliable. Your success will be measured by the success of our partner teams who rely on our robust systems to build the world's most advanced driverless vehicles.

As a Senior ML Infra Engineer, you will build critical infrastructure that powers every machine learning engineer working on our cutting-edge Autonomous Driving models. From foundational models to state-of-the-art optimization, our goal is simple: dramatically accelerate the machine learning development cycle. We are committed to delivering products that are performant, easy to use, and exceptionally reliable. Your success will be measured by the success of our partner teams who rely on our robust systems to build the world's most advanced driverless vehicles.

What you'll do:
  • Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
  • Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality.
  • Take a holistic view of projects, considering their impact across multiple teams, and proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build.
  • Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting. Mentor and onboard junior engineers and interns, helping them grow their careers.


What you'll bring:
  • 3+ years of experience building large-scale distributed systems/applications or advanced ML Applications.
  • Proven track record of building robust frameworks with high-quality, long-lasting APIs.
  • Deep understanding and practical experience with machine learning algorithms.
  • Expertise in building reliable, highly performant, and cost-efficient systems leveraging modern cloud infrastructure.
  • Hands-on experience with the entire ML development lifecycle and MLOps practices.
  • Demonstrated ability to collaborate effectively across multiple teams and organizations.
  • Proficiency working with containerization and orchestration technologies (Docker, Kubernetes).
  • A strong passion for self-driving technology and its transformative potential.
  • Exceptional coding skills in Python or C++.
  • BS, MS, or PhD in Computer Science, Math, or equivalent practical experience.


Exceptional candidates may also have:
  • Experience with distributed training methodologies.
  • A background in optimizing model training performance.
  • Experience scaling model training across large clusters of GPUs/CPUs or other accelerators.
  • Familiarity with deep learning frameworks such as PyTorch, TensorFlow, etc.
  • A strong grasp of performance profiling and state-of-the-art training optimization algorithms, including their performance characteristics and effect on model convergence.
  • Experience with advanced build systems (Bazel, Buck, Blaze, or Cmake).


Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of an office, you are expected to report to that location three times a week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

  • The salary range for this role is $153,200.oo to $234,100.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.


  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.


Benefits:

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.


Relocation: This job may be eligible for relocation benefits.

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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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