Builds and maintains the ML infrastructure behind robot learning: distributed model training on GPU clusters, multimodal robot data ingestion pipelines, and low-latency inference for real-time robot control, plus research tooling for debugging and experiment analysis. Key stack: SLURM/Kubernetes, distributed training, GPU performance optimization.
Sign in to see your match