Roboticist, Generalist MEGA Robots (Hybrid)

EngineersOfAI

Sunnyvale (CA)

Hybrid

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Wayve in Sunnyvale, CA is seeking a Roboticist to join the MEGA team as a founding member. You will work across the robot stack, from selecting hardware to deploying policies and testing in real-world scenarios, shaping data collection and model evaluation.

This role offers high impact, 0-1 ownership, the chance to publish research and turn advances into robust embodied intelligence on diverse robots, from mobile manipulators to humanoid platforms, in a fast-paced, well-resourced environment.

Qualifications

  • Experience in robot manipulation and hardware.
  • Proficiency in C++ and Python for robotics/ML.
  • Strong robotics and ML fundamentals; translate research into robust systems.
  • Publications in top-tier conferences (ICRA/CoRL/IROS) valued.
  • PhD preferred; MS with strong relevant experience acceptable.

Responsibilities

  • Build, maintain, and operate robot hardware for research and deployment.
  • Develop C++ and Python robot software, including ROS/ROS2.
  • Create infrastructure for policy deployment, data collection, and the robot learning data flywheel.
  • Run robotics experiments and data collection pilots to accelerate model development.
  • Debug robotic software, hardware, and policy failures in lab environments.
  • Develop deployment and regression tests for reliability.

Skills

Robot manipulation
C++ and Python in robotics/ML
Robotics & ML fundamentals
Publications in top conferences

Education

PhD preferred; MS with strong experience

Tools

ROS/ROS2

Job description

Wayve in Sunnyvale, CA is seeking a Roboticist to join the MEGA team as a founding member. You will work across the robot stack, from selecting hardware to deploying policies and testing in real-world scenarios, shaping data collection and model evaluation.

This role offers high impact, 0-1 ownership, the chance to publish research and turn advances into robust embodied intelligence on diverse robots, from mobile manipulators to humanoid platforms, in a fast-paced, well-resourced environment.

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