Founding Engineer: Manipulation

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. We are live in deployment across multiple verticals. As founding engineer, you'll own the model pipeline end-to-end.

You'll have $750K in compute credits across Azure, AWS, and GCP, NVIDIA Inception perks, and a bespoke data pipeline already running. **What you'll do:** * Select pre-training architectures for our foundation model * Own the train-test-deploy loop: curation, training runs, evaluation, deployment * Collaborate with research organizations * Set technical direction for the model team **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%-2% equity * Incredible office in NYC. Equipment budget, meals, etc.