General Motors · 1 hour ago
Senior Software Engineer, ML Infrastructure
Sunnyvale, CA
Full-time
Hybrid
Mid, Senior Level
$153K/yr - $234K/yr
3+ years expGeneral Motors is redefining mobility through innovative vehicle design and technology. They are seeking a Senior Software Engineer for ML Infrastructure to lead the development of scalable platforms for machine learning workflows, enhancing the safety and performance of autonomous driving systems.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
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 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
Qualification
Required
3+ years of experience building large-scale distributed systems/applications or advanced ML Applications
Proven track record of building robust frameworks with high-quality, long-lasting APIs
Deep understanding and practical experience with machine learning algorithms
Expertise in building reliable, highly performant, and cost-efficient systems leveraging modern cloud infrastructure
Hands-on experience with the entire ML development lifecycle and MLOps practices
Demonstrated ability to collaborate effectively across multiple teams and organizations
Proficiency working with containerization and orchestration technologies (Docker, Kubernetes)
A strong passion for self-driving technology and its transformative potential
Exceptional coding skills in Python or C++
BS, MS, or PhD in Computer Science, Math, or equivalent practical experience
Preferred
Experience with distributed training methodologies
A background in optimizing model training performance
Experience scaling model training across large clusters of GPUs/CPUs or other accelerators
Familiarity with deep learning frameworks such as PyTorch, TensorFlow, etc
A strong grasp of performance profiling and state-of-the-art training optimization algorithms, including their performance characteristics and effect on model convergence
Experience with advanced build systems (Bazel, Buck, Blaze, or Cmake)
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
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
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
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
2026-01-24
Company data provided by crunchbase