Dyna Robotics
Research Engineer
Redwood City, CA · Senior
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About the role
- Most ML infrastructure work ends at a benchmark.
- Ours ends at a robot doing real work at a customer site.
- every GPU busy, every run reproducible, and every researcher's next experiment one command away.
Responsibilities
- Build a research codebase and scheduling system (Kubernetes/SLURM) built for fast iteration, automatic retries, and painless failure recovery.
- Design high-throughput pipelines for terabytes of multimodal robot data so dataloaders never starve the GPUs.
- Own what you ship: you design, build, and operate systems end to end to unblock fast-moving research.
Requirements
- Have hands-on experience with cloud GPU environments (GCP/AWS) and Kubernetes.
Benefits
- You follow robot learning research, have opinions about VLAs or world models, or have built something that moves.
Company info
- Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance.
- Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world.
- Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.
This listing is sourced directly from Dyna Robotics's careers page and normalized into a canonical job model.