Senior ML Infrastructure Engineer Embodied AI

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 into tomorrows 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 peopleas we aim to makedriving 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 Senior 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 worlds most advanced driverless vehicles.

What Youll Do:

• Design implement and deploy scalable platforms and tools supporting machine learning training and evaluation workflows across GM.

• Drive complex technical projects with strong ownership of implementation code quality and system reliability.

• Contribute to technical design discussions and architectural decisions while collaborating with senior engineers and technical leads.

• Work closely with partner teams to ensure platforms meet real-world ML development needs and maximize adoption.

• Identify technical improvements and help prioritize platform investments to improve performance reliability and developer productivity.

• Contribute to a strong engineering culture through high-quality code reviews documentation and operational excellence.

• Support onboarding and mentoring of junior engineers and interns.

What Youll Bring:

• 5 years of experience building large-scale distributed systems applications or ML infrastructure.

• Experience designing robust services or frameworks with durable well-designed APIs.

• Solid understanding of machine learning workflows and hands-on experience applying ML systems in production environments.

• Experience building reliable high-performance and cost-efficient systems on modern cloud infrastructure.

• Practical experience across the ML development lifecycle including model training deployment and MLOps practices.

• Strong cross-functional collaboration skills across teams and organizations.

• Proficiency with containerization and orchestration technologies (e.g. Docker Kubernetes).

• Strong coding skills in Python or C.

• Interest in autonomous driving and large-scale ML systems.

• 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 specialized accelerators.

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.

• Experience with performance profiling and training optimization techniques and their impact on model convergence and performance.

• Experience with advanced build systems such as Bazel Buck Blaze or CMake.

Remote:This role is based remotely but if you live within a 50-mile radius of Austin Detroit WarrenMilfordor Mountain View you are expected to report to that location three timesperweek at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

• The salary range for this role is $153200.00 to $234100.00. 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 incentivepayprogram offers payouts based on company performance job level and individual performance.

Benefits:

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

This job may be eligible forrelocationbenefits.

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 were looking out for your well-beingat work and at homeso 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 email us or call 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.