Software Engineer: ML Infra

• Owning our GPU compute fleets
• Ensure our GPUs are easy for researchers to use and maximally utilized
• Optimizing and improving ML data loading transport and storage in highly distributed fully utilized environments
• Orchestration of robot inference fleets

• Have managed large fleets of GPUs doing large-scale, long-term, highly distributed training runs or inference
• Deep experience in Slurm or Kubernetes for ML workload orchestration
• Have build high-scale ML data loaders and preparation systems
• Deeply understand every layer of the ML hardware, storage, and networking stacks
• Have experience in the NVidia GPU ecosystem

Offers Equity