General Motors · 6 hours ago
Staff AI/ML Fullstack Engineer - AV ML Infra
General Motors (GM) is a company driving the future of mobility with advanced self-driving and electric vehicle technologies. They are seeking a Staff AI/ML Full-Stack Engineer to design and build end-to-end software products, focusing on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
Responsibilities
Design, implement, and maintain user-facing web applications and internal tools used by AV engineering teams. Build scalable backend services and APIs that power frontend experiences. Ensure systems are secure, reliable, and performant at scale
Develop modern, responsive UIs using frameworks such as React, Angular, or similar, Collaborate with UX and product partners to deliver intuitive workflows and polished user experiences. Translate complex backend concepts into clear, usable interfaces
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
Qualification
Required
5+ years of professional software engineering experience, including full-stack development
Experience building and operating production-grade web applications
3+ 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
Preferred
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 Kubernetes
Understanding of Machine Learning (ML) models/pipelines
Python/C++/Golang proficiency
Relevant publications
Benefits
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 rewarding career that rewards you personally by visiting Total Rewards resources.
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Recent News
DBusiness Magazine
2026-01-14
2026-01-14
Company data provided by crunchbase