Principal AI/ML Engineer, AV ML Infra
AI summary of the role
Lead the AV ML Infra team at GM, building ML infrastructure for autonomous driving.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design and implement scalable distributed computing and data processing solutions using GCP/Azure.
- Own technical projects end-to-end, contribute to product roadmap, and make major technical trade-off decisions.
- Engage in team planning, code reviews, and design discussions across multiple teams.
- Conduct technical interviews, onboard, and mentor engineers and interns.
What you’ll bring
- 10+ years of experience with strong background in large-scale distributed systems.
- 5+ years leading and driving large-scale initiatives.
- Proficiency in Python, C++, or Golang for building scalable cloud infrastructure.
- Experience with relational and NoSQL databases.
Technologies
GCP · Azure · Python · C++ · Golang · Kubernetes · Kubeflow · Flyte · Airflow · RayServe · vLLM · Triton
About General Motors
Global automaker selling Chevrolet, GMC, Cadillac, and Buick vehicles, plus financing and connected services, while shifting into EVs and driver assistance.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques. Our ML infrastructure includes: AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines. ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources. AV Pipelines & Lineage: Orchestrates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility. Together, these tools and systems empower GM to tackle the complexities
More from the job description
Job Description We’re General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies. We’re building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many. GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us. About the team: The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques. Our ML infrastructure includes: AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML infe [... source excerpt omitted ...] u are expected to report to that location three times a week, at minimum. 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 [... source excerpt omitted ...] ers 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
Employer postings · Data from · Sources