Senior Ml Infrastructure Engineer, Inference Platform
General Motors
Mountain View, California, USA
Base: $155,420 to $205,900; bonus/equity: incentiv...
Hybrid
Ml inference model serving
Distributed systems for ml
Gpu utilization optimization
Our team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AI efforts, serving teams developing autonomous vehicles and other AI-driven products
Job Summary
Our team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AI efforts, serving teams developing autonomous vehicles and other AI-driven products.
You will play a key role in shaping the architecture, roadmap and user-experience of a robust ML inference service supporting real-time, batch, and experimental inference needs.
GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and paid vacation & holidays.
Matching Summary
Our team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AI efforts, serving teams developing autonomous vehicles and other AI-driven products.
Salary
Base: $155,420 to $205,900; Bonus/Equity: Incentive pay program based on company, job level, and individual performance; Benefits: Health and wellbeing benefit programs, retirement savings plan, paid vacation & holidays, tuition assistance, vehicle discounts
Skills & Requirements
Must-have
ML inference model serving
distributed systems for ML
GPU utilization optimization
cloud-agnostic platform
Python or C++ expertise
model serving frameworks
Nice-to-have
zero-to-one ML infrastructure
Ray framework experience
vLLM experience
telemetry and feedback loops
product mindset
Key Requirements
5+ years of industry experience
ML systems or high performance backend services experience
ML inference and model serving frameworks expertise