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Roboticist (Robot Foundation Model)

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Onsite

Roboticist (Robot Foundation Model)

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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