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General Robotics

Robot type
Robot AI and Software
Location
RedmondWashingtonUSA
Job type
Hardware
Posted
May 26, 2026
Full-time

Robotics Engineer - Navigation focus

Job description

This role is open to candidates currently based in and authorized to work in the US.

General Robotics is building the intelligence grid for physical AI — the platform that makes any robot, from robotic arms to humanoids, genuinely intelligent. Headquartered in Redmond, Washington, we're venture backed, including by Accenture, who invested in General Robotics in 2026 to advance Physical AI-powered robotics in manufacturing and logistics, and we're also part of Microsoft's Startups Pegasus Program.

Job responsibilities

  • Develop new methods and systems that advance the state of the art in robotics, 3D perception, navigation, and foundation models.
  • Adapt standard machine learning models and frameworks to robotics applications (e.g. computer vision, SLAM, navigation).
  • Build efficient robotics pipelines integrating sensor fusion, perception models, geometric reasoning, and model inference.
  • Define research goals informed by practical engineering concerns.
  • Design high fidelity simulation environments that advance sim-to-real transfer and enable faster iteration cycles for deploying new robots.
  • Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results.
  • Partner with customers to deploy robots with navigation capabilities in real production environments.
  • Contribute to publications and open-sourcing efforts.

Job requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Research experience in machine learning, robotics, and computer vision.
  • Experience with developing robotics algorithms or machine learning models at scale.
  • Programming experience in Python/C++. Good understanding of deep learning frameworks like Pytorch or Jax.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Master's/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Direct experience in robotics, computer vision, or machine learning research.
  • First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, CORL).

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