Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations
Mountain View, California, United States · Hybrid
$172k–$335k/yr
Senior$8.5B raised
Job Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turni…
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Washington, District of Columbia, United States · Remote OK
$87k–$165k/yr
Senior$200K raised
Date Posted: 2026-09-02 Country: United States of America Location: US-CA-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citize…
Washington, District of Columbia, United States · Hybrid
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Senior Active Directory Engineer - Active Top Secret required
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Senior+
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Washington, District of Columbia, United States · Remote OK
$214k–$245k/yr
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Ironstead
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Staff Information Systems Security Officer (R5789)
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Washington, District of Columbia, United States · Hybrid
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Microsoft Certified Solutions Expert in Cloud Platform and Infrastructure
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Senior
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$172k–$335k/yr
Full-time
bachelor degree, postgraduate degree
Medical insurance, Dental insurance, Vision insurance, Health Savings Account, Flexible Spending Accounts, Retirement savings plan
Posted 10d ago
~40 hrs/week
Responsibilities
Lead the design and deployment of scalable platforms for machine learning model training and evaluation workflows. Collaborate with partner teams to drive technical prioritization and mentor junior engineers.
Requirements
Requires 5+ years of experience in large-scale distributed systems and machine learning development lifecycles. Candidates must possess exceptional coding skills in Python or C++ and a deep understanding of ML algorithms.
Full job description
Job Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Role:
Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Staff ML Infra Engineer, you willdrive the development of core systems that enable rapiddataset generation,training, evaluation, and iteration of our most advanced Autonomous Driving models.Fromenablinglargefoundational drivingmodels todistilling multi-stage production deployedmodels,yourgoalwill be todramatically accelerate the machine learning development cyclefrom one modeling hypothesis to next.
You will deliver model training pipelinesthat are performant, easy to use, and exceptionally reliable.Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and high‑performance training platforms you help create.
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 across a longer timeline.
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.
Your Skills & Abilities (Required Qualifications)
5+ years of experience building large-scale distributed systems, applications, or advanced ML systems‑scale distributed systems, applications, or advanced ML systems
Proventrack recordof designing robust frameworks with high-quality, durable APIs.
Deep understanding of machine learning algorithms with hands‑on application
Expertisein building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure‑performance
End-to-end experience across the ML development lifecycle, includingMLOpspractices
Strong cross functional collaboration skills across teams and organizations
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
Exceptional candidates may also 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 andstate-of-the-arttraining 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)
Proficiencywith containerization and orchestration technologies (e.g., Docker, Kubernetes)
5+ years of professional experience
Remote/Hybrid: This role is categorized as fully remote or hybrid.
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 $171,700.00 to $335,300.00. 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:
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.
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.
#GM-AV-1
#LI-CX1




This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

This job may be eligible for relocation benefits.


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 Total Rewards resources.
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 How we Hire.
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, emailus 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.
Amazing people make amazing products. And together, we build the one for every person, purpose and journey.
Industry
Motor Vehicle Manufacturing
Company size
10,001+ employees
Headquarters
Detroit, Michigan
LinkedIn followers
3,650,112
Total funding
$8.5B
General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow.
For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html
Offices: 100 Renaissance Center, Detroit, Michigan 48243, US · P.O. Box 33170, Detroit, Michigan 48232-5170, US · 800 N Glenwood Ave, Pontiac, MI 48340, US · Avenida Americo Vespucio 811, Huechuraba, Santiago Metropolitan 8580000, CL · 500 Wentworth St W, Oshawa, Ontario L1J 6G5, CA
How much do Engineering jobs in Washington, DC pay?
Based on 2273 listings with disclosed salaries, most engineering jobs in Washington, DC pay between $78k–$206k per year. Individual offers vary with seniority, company size, and specialization.
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