We're building foundational models for general purpose manipulation. Our data infrastructure allows us to generate rich, multi-modal human demonstration data at exponential scale.

We are using this data to train general-purpose manipulation models that work reliably across tasks, objects, and robot embodiments.

As founding engineer, you'll own the model pipeline end-to-end - data curation, selecting architecture, training and evaluation. You'll have $750K in compute credits across Azure, AWS, and GCP, NVIDIA Inception perks, and a bespoke data pipeline already running.

You should have:

• Experience implementing models end-to-end on robots, or research experience in VLAs, world models, or imitation learning
• Proof of decision-making with incomplete information
• Extremely competitive nature
• A track record that shows you genuinely want to see robots deployed in the real world - projects, research, or competitions

Our culture is built on honesty and willingness to fail fast. If you see yourself fitting here, please apply.

Comp:

• $80K-$200K
• 0.1%-5% equity
• Incredible office in downtown SF. Equipment budget, meals, etc.