Hybrid Role: Senior Software Engineer

This role is categorized as hybrid. This means the successful candidate is expected to report to the GM Global Technical Center - Cole Engineering Center Podium, MI or Mountain View Technical Center, CA at least three times per week, at minimum or other frequency dictated by the business. This job is eligible for relocation assistance.

About the Team

The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We're proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We're committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.

About the Role

We are looking for a Senior 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.

This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.

What You'll Be Doing

• Design core platform backend software components
• Experience cloud platforms like GCP, Azure
• 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 GM ML ecosystem

Requirements

• 5+ years of industry experience
• Expertise in either Go, C++, Python or other relevant coding languages
• Strong background with Kubernetes at scale
• Relevant experience building large-scale with distributed systems
• Experience leading and driving large scale initiatives
• Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

Preferred Requirements

• Hands-on experience in ML platforms
• Experience with GPU/TPU optimizations
• Experience with training frameworks like PyTorch, TorchX
• Experience with Ray framework
• Leadership/active participation in the open source community
• Experience infrastructure applications or similar experience

Why Join Us?

If you're excited to tackle some of today's most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GMthis is the team for you.

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The expected base compensation for this role is: $143,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position.
• An incentive pay program offers payouts based on company performance, job level, and individual performance.
• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.