[Remote] Principal AI/ML Engineer, AV ML Infra

Note: The job is a remote job and is open to candidates in USA. General Motors (GM) is a company driving the future of mobility with advanced self-driving and electric vehicle technologies. The Principal AI/ML Engineer will lead the AV ML Infra team in developing scalable infrastructure products that empower GM teams to perform machine learning and data science at scale.


Responsibilities

  • Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud
  • Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs
  • Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts
  • Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing

Skills

  • 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
  • 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

Benefits

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • 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 Overview

  • General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. It was founded in 1908, and is headquartered in Detroit, Michigan, USA, with a workforce of 10001+ employees. Its website is

    • Company H1B Sponsorship

  • General Motors has a track record of offering H1B sponsorships, with 338 in 2026, 787 in 2025, 740 in 2024, 450 in 2023, 795 in 2022, 748 in 2021, 452 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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