Roboticist, Robot Foundation Model
About The Position
We are looking for a Roboticist to join the 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. This is a high-impact role with genuine 0→1 ownership. You will have the opportunity to work across the entire robot stack: you will select, build, integrate, and maintain robot hardware; develop the software needed to deploy and test robot policies; and work closely with research teams to shape data collection, model evaluation, and the learning loop. The goal is work on compelling and publishable research, but also to turn it into systems that demonstrate increasingly general, robust and useful behavior in the physical world. You will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities. This is a rare opportunity to help build a general robotics effort from the ground up—combining frontier foundation-model research with the immediacy and complexity of intelligence embodied in real machines.
Requirements
- Experience in robot manipulation; working with robot hardware.
- Experience with C++ and Python in robotics or ML environments.
- Strong robotics and machine learning fundamentals, with the ability to translate research into robust systems.
- PhD preferred; MS acceptable with strong relevant experience.
Nice To Haves
- Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued.
Responsibilities
- Build, maintain, and operate robot hardware for research and deployment experiments.
- Implement and maintain C++ and Python robot software, including control, planning, and ROS/ROS2-based systems.
- Develop infrastructure for policy deployment, data collection, and the robot learning data flywheel.
- Run experiments on robots and define data collection pilots that accelerate model development.
- Debug and troubleshoot robotic software, hardware, and policy failures in lab environments.
- Build comprehensive deployment and regression tests to improve reliability and repeatability.
Benefits
- competitive equity package
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
