Generalist
Software Engineer: ML Infra
$260K–$350K
San Francisco Bay Area (San Mateo) · On-site · Full-time · Posted Feb 12, 2026
About the job
Owns GPU compute and robot inference infrastructure for training and deploying very large robot foundation models.
What you'll do
- Own GPU fleets and make them accessible to researchers and highly utilized.
- Optimize distributed ML data loading, transport, and storage.
- Orchestrate inference fleets of on-prem GPUs attached to robots.
What they ask for
- Experience managing large GPU fleets for large-scale, long-term, distributed training or inference.
- Deep experience with Slurm or Kubernetes for ML workload orchestration.
- Experience building high-scale ML data loaders and preparation systems.
- Deep understanding of ML hardware, storage, and networking stacks; experience in the Nvidia GPU ecosystem.
Pay
$260K – $350K USD base salary
Tools
Nvidia, Slurm, Kubernetes
AI focus
Infrastructure for training very large robot foundation models and running real-time inference on robots.
Model-written summary · the original posting is authoritative