Senior Ml Infrastructure Engineer, Inference Platform
General Motors Australia & New Zealand
Mountain View, California, United States
Base: $155,420 to $205,900; bonus: incentive pyy p...
Hybrid
5+ years industry experience in ml systems
Expertise in python or c++ programming
Deep knowledge of ml inference frameworks
The team owns a cloud-agnostic, reliable, and cost-efficient platform that powers GM's AI efforts for autonomous vehicles and other products
Job Summary
The team owns a cloud-agnostic, reliable, and cost-efficient platform that powers GM's AI efforts for autonomous vehicles and other products.
You will lead technical decision-making on model serving strategies, orchestration, caching, and auto-scaling mechanisms for highly optimized accelerator use.
GM offers a comprehensive benefits package including medical, dental, vision, retirement savings, tuition assistance, and employee vehicle discounts.
Matching Summary
The team owns a cloud-agnostic, reliable, and cost-efficient platform that powers GM's AI efforts for autonomous vehicles and other products.
Salary
Base: $155,420 to $205,900; Bonus: Incentive pay program based on performance; Benefits: Medical, dental, vision, retirement, tuition assistance, vehicle discounts
Skills & Requirements
Must-have
5+ years industry experience in ML systems
Expertise in Python or C++ programming
Deep knowledge of ML inference frameworks
Experience with distributed system design
Strong cross-functional communication skills
Nice-to-have
Zero-to-one platform building experience
Familiarity with Ray framework and vLLM
Open source contribution background
Hardware acceleration optimization skills
Product mindset for platform usability
Key Requirements
5+ years of industry experience
Expertise in Python, C++, or relevant languages
Proven ability to drive cross-functional initiatives