Principal AI/ML Engineer, AV ML Infra

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. Position Overview The Principal AI/ML Engineer will lead a growing organization, guiding the AV ML Infra team in achieving its mission while shaping long‑term vision and execution strategies across GM’s AI and ML efforts. This leadership role will drive a transformative leap in our infrastructure capabilities to meet the scale we anticipate. The leader will articulate a clear vision and strategy, design an organizational structure to enable effective execution, and cultivate strong partnerships across cross‑functional teams and stakeholders. What You’ll Be Doing Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud. Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade‑offs. Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts. Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing. What You Must Have 10+ years of experience, with a strong background in large‑scale distributed systems preferred. 5+ years of experience leading and driving large‑scale initiatives. Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages. Experience working with relational and NoSQL databases. Demonstrated ability to develop and maintain systems at scale. A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience. A passion for autonomous vehicle technology and its transformative potential. Strong attention to detail and a commitment to accuracy. A proven track record of efficiently solving complex problems. A startup mentality with a willingness to embrace uncertainty and wear multiple hats. Bonus Points Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services. Experience with open‑source orchestration platforms such as Kubeflow, Flyte, Airflow, etc. Experience with model serving frameworks such as RayServe, vLLM, Triton. Experience with Kubernetes. Understanding of Machine Learning (ML) models/pipelines. Python/C++/Golang proficiency. Relevant publications. 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 New York, Colorado, California, or Washington. The salary range for this role is $275,800 to $340,500. 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. 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. Remote/Hybrid This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. #J-18808-Ljbffr General Motors