Note: The job is a remote job and is open to candidates in USA. General Motors is redefining mobility through innovative vehicle and experience design. They are seeking a Staff ML Infrastructure Engineer to develop and deploy machine learning solutions for autonomous driving, focusing on building scalable platforms that enhance model training and evaluation.
Responsibilities
- Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM
- Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. You will be a core contributor to team planning, design reviews, and code quality
- Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline
- Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build
- Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting
- Mentor and onboard junior engineers and interns, helping them grow their careers
Skills
- 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems
- Proven track record of designing robust frameworks with high-quality, durable APIs
- Deep understanding of machine learning algorithms with hands-on application
- Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure
- End-to-end experience across the ML development lifecycle, including MLOps practices
- Strong cross functional collaboration skills across teams and organizations
- Exceptional coding skills in Python or C++
- Strong interest in autonomous driving and its transformative potential
- BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience
- Experience with distributed training methodologies
- Experience scaling ML training across large GPU/CPU clusters or other accelerators
- Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)
- Experience with performance profiling and state-of-the-art training optimization techniques, including their impact on model performance
- Experience with advanced build systems (e.g., Bazel, Buck, Blaze, CMake)
- Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Benefits
- 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
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 https://www.gm.com.Company H1B Sponsorship
General Motors has a track record of offering H1B sponsorships, with 132 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.