ML Infrastructure Engineer

Job Description

We are looking for a Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You’ll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.

• Design core platform backend software components.
• Experience with cloud platforms like GCP, Azure, and Amazon Web Services.
• Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa.
• Analyze and improve efficiency, scalability, and stability of various system resources.
• Proactively identify, drive, and design large initiatives across the GM ML ecosystem.

• 3+ years of industry experience.
• Expertise in Go, C++, Python, or other relevant coding languages.
• Relevant experience building large-scale distributed systems.
• Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.

• Hands‑on experience in ML platforms.
• Experience with GPU/TPU optimizations.
• Experience with Ray framework.
• Experience with Kubernetes at Scale.
• Experience with infrastructure applications or similar.

The salary range for this role is $119,220 to $187,500. Bonus potential is offered via an incentive pay program based on company performance, job level, and individual performance.

GM offers a variety of health and wellbeing benefit programs, including 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.

This role is based hybrid, from Sunnyvale. You are expected to report to that location three times a week, s job may be eligible for relocation benefits.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, veteran status, or any other similarly protected status in accordance with federal, state and local laws.