Roboticist, Robot Foundation Model

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

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.

• 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.

• 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.

• Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued.

• PhD preferred; MS acceptable with strong relevant experience.

What makes this role exciting

• Join a new, well-resourced effort at the intersection of foundation models and robotics.

• Work on generalist robot models and help