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General Motors

Robot type
Autonomous Vehicle
Location
SunnyvaleCaliforniaUSA
Job type
Artificial Intelligence
Posted
Sep 7, 2026
Salary
$275,800–$340,500 a year
Full-time

Principal AI/ML Engineer, AV ML Infra

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.

Job responsibilities

  • 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.

Job requirements

  • 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.
Apply on General Motors websiteSave

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