Robotics Applied Research Lead

Here at […], we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe […] robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed […] platform being deployed in real industrial environments - and we’re growing the team to take it even further.

About the Role The Robotics Applied Research Lead establishes and leads […]’s AI research and engineering function. You decide which Physical AI data problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart: Multimodal and embodied data Transformer-based models and how data impacts robot policies Rigorous offline and real-world evaluation of policies Deployment of models in the data ecosystem This is a player-coach role.

In the first year, at least half of your time is direct technical work: designing models and experiments, reviewing or writing code, inspecting data, debugging training, examining failures, and reviewing robot rollouts. You will also build a small research and engineering team. Add people only when the work requires them.

Mandate Turn […] data and technical access into measurable advances in Physical AI systems. You own the answers, and the evidence, to questions such as: Which model families should we train, adapt, or evaluate? Which data produces meaningful gains in