Staff ML Infrastructure Engineer (Compute)
General Manufacturing(1 month ago)
About this role
Staff ML Infrastructure Engineer at GM responsible for building and scaling cloud-agnostic compute platforms that support simulation, data labeling, and data generation workflows for autonomous vehicle validation. The role focuses on maximizing GPU utilization, platform reliability, and cost-efficiency while shaping architecture and roadmap for ML simulation and hardware-in-loop validation. This position influences cross-functional ML infrastructure initiatives and the user experience of the platform.
Required Skills
- Distributed Systems
- Kubernetes
- Docker
- Go
- Cloud Platforms
- GCP
- AWS
- Monitoring
- Observability
- Auto-Scaling
+5 more
About General Manufacturing
gm.comGeneral Motors is a global automotive company and the parent of Chevrolet, Buick, GMC and Cadillac, designing, engineering and manufacturing a full range of cars, trucks and SUVs. Beyond vehicles, GM provides connected and mobility services—such as OnStar and GM Energy—and invests in vehicle safety, autonomous driving and other advanced engineering. The company is pursuing electrification and sustainability through initiatives like its Journey to Zero Emissions while supporting communities and workforce development. For more than a century GM emphasizes quality, reliability and delivering a vehicle for every drive.
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