Senior ML Infrastructure Engineer (Compute)
Core
Build and scale robust Compute platforms for Simulation workflows, focusing on scaling, efficiency, and high utilization of cutting-edge GPUs for GM's autonomous vehicle validation.
Role type
Senior ML Infrastructure Engineer (Compute)
Builds
Cloud-agnostic, reliable, and cost-efficient infrastructure platform for AI Validation and Simulation
Domain
Autonomous Vehicles / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
Go, distributed systems design, cloud capacity provisioning, auto-scaling, monitoring and observability, high performance computing (HPC), hardware acceleration (GPUs)
Preferred skills
Google Compute Engine, hardware-in-the-loop validation systems, developer workflow interfaces, telemetry feedback loops
Technologies
Go, GCP, Azure, AWS, Google Compute Engine, GPUs
Responsibilities
Design and implement core platform backend software components; Lead technical decision-making on Compute architecture and cloud capacity; Drive development of monitoring and metrics; Proactively research and integrate frameworks and hardware accelerators; Lead large-scale technical initiatives across ML infrastructure
Seniority
Senior, hands-on IC
