Principle Roboticist, Robot Foundation Model

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our MEGA Team Multi-Embodiment Generalist Agent (MEGA) team within Wayve Labs as a founding member. MEGA is building foundation models for general-purpose robots beyond self-driving vehicles. Our focus is on creating intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids. 🧠 Your day-to-day You enjoy working hands-on with real robots and are comfortable debugging across hardware, software, and ML systems. You can move between research exploration and pragmatic engineering execution. You have strong judgement around experiment design, data quality, and model evaluation. You communicate clearly across research, engineering, and product teams. You are excited by 0→1 ownership and ambiguity in a fast-moving research environment.

🧩 What you’ll be working on:

Build, integrate, and maintain robot hardware platforms for research and experimentation. Develop and maintain robot software in C++ and Python, including control, planning, ROS/ROS2-based systems, and deployment infrastructure. Create infrastructure for policy deployment, data collection, evaluation, and the robotics data flywheel. Run real-world robot experiments and define data collection pilots that inform model development. Collaborate with research teams on robot policy development, model evaluation, and data strategy. Debug and troubleshoot robotic software, hardware, and policy failures. Build robust deployment, regression, and validation tests for robot systems. Help shape technical direction across robotics, ML, hardware, and experimentation.