Staff ML Engineer - Embodied AI Scaling Foundations

General Motors; Sunnyvale (CA); Hybrid; USD 189,000 - 300,000; Full time

Benefits offered by this job

Health benefits

Company vehicle program

Relocation assistance

Job summary

General Motors is seeking a Staff ML Engineer to build scalable infrastructure powering autonomous driving ML workflows. You will lead design and deployment of platforms enabling model training and evaluation across GM, while guiding architectural decisions and trade-offs.

You will collaborate across teams, mentor junior engineers, and shape recruitment standards. A strong background in distributed ML systems, APIs, and cloud-native tools is required, with expertise in Python or C++.

Qualifications

• 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems.
• Hands-on experience with ML development lifecycle and MLOps practices.
• Strong APIs design with durable, high-quality interfaces.
• Proficient in cloud infrastructure for scalable ML workloads.
• Solid Python or C++ coding skills and performance awareness.
• Excellent cross-functional collaboration across teams and organizations.

Responsibilities

• Lead design, implementation, and deployment of scalable ML platforms and tools for model training and evaluation workflows.
• Own complex projects end-to-end, making architectural decisions and trade-offs.
• Collaborate with partner teams to maximize system impact and prioritize work.

Skills

Distributed systems

ML systems

APIs design

Cloud infrastructure

MLOps

Cross-functional collaboration

Containerization

Python or C++

Education

BS/MS/PhD in CS/Math

Tools

Docker

Kubernetes

Bazel

CMake

Job description

Staff ML Engineer - Embodied AI Scaling Foundations page is loaded## Staff ML Engineer - Embodied AI Scaling Foundationsremote type: Remote/Hybridlocations: Sunnyvale, California, United States of America: Remote - Washingtontime type: Full timeposted on: Posted Yesterdayjob requisition id: JR-202605033**Job Description**As a Staff ML 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:* 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems‐scale distributed systems, applications, or advanced ML systems* Proven track record of designing robust frameworks with high-quality, durable APIs‐quality, durable APIs* Deep understanding of machine learning algorithms with hands‐on application* Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure‐performance, and cost‐efficient systems on modern cloud infrastructure* End-to-end experience across the ML development lifecycle, including MLOps practices‐to‐end experience across the ML development lifecycle, including* Strong cross functional collaboration skills across teams and organizations‐functional collaboration skills across teams and organizations* Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes)* Exceptional coding skills in Python or C++* Strong interest in autonomous driving and its transformative potential* BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.Nice to have:* Experience with distributed training methodologies* Experience scaling ML training across large GPU/CPU clusters or other accelerators* Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)* Experience with performance profiling and state-of-the-art training optimization techniques, including their impact on model performance ‐of‐the‐art training optimization techniques, including their impact on convergence* Experience with advanced build systems (e.g., Bazel, Buck, Blaze, CMake)**Hybrid:** This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale or Mountain View Technical Center in the Bay Area three times per 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 $189,000 to $300,000. 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.**Company Vehicle**: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.**Relocation:** This job may be eligible for relocation benefits.#LI-CX1#GM-AV-1**About GM**Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.**Why Join Us**We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.**Benefits Overview**From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting .**Non-Discrimination and Equal Employment Opportunities (U.S.)**General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit .**Accommodations**General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, **email**us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.Please