W
Wayve
Roboticist (Robot Foundation Model)
Skills
PythonMachine Learning
2 months ago
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Important information
Contract type:
Permanent
Salary:
$184,200 – $240,000 / year
Location:
Sunnyvale, CA, USA
Work mode:
Onsite
Published on:
17 August 2026
What they need
- 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
Benefits
- Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
- Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
- Mental health resources: Through Spill, you can access therapy and mental health support.
- Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
- Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
- Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.- Experience in robot manipulation; working with robot hardware
- Experience with C++ and Python in robotics or ML environments
- Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued
- Strong robotics and machine learning fundamentals, with the ability to translate research into robust systems
- PhD preferred; MS acceptable with strong relevant experience
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