Senior RL Engineer for Real-World Autonomous Excavation in Oxford

Senior RL Engineer for Real-World Autonomous Excavation in Oxford

Oxford Full-Time 63000 - 77000 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Develop cutting-edge algorithms for autonomous excavation in diverse environments.
  • Company: Gravis Robotics, a fast-growing startup based in Zurich.
  • Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
  • Other info: Collaborative culture with exciting challenges and career advancement.
  • Why this job: Join a pioneering team and make a real impact in robotics technology.
  • Qualifications: Experience with robotics, Python, C++, and a passion for mentoring.

The predicted salary is between 63000 - 77000 Β£ per year.

Gravis Robotics, based in Zurich, is seeking a robotics engineer to develop data-driven planning and control for autonomous excavation across diverse machines, sites, and soil conditions.

You will build robust algorithms and integrate them into production systems in a fast-growing startup environment.

You should have hands-on experience with real robots, sim2real transfer, Python, and C++, and enjoy mentoring others while contributing to a collaborative engineering culture.

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Senior RL Engineer for Real-World Autonomous Excavation in Oxford employer: Gravis-Robotics

Gravis Robotics is an exceptional employer that fosters a dynamic work culture where innovation meets collaboration. As a Field Robotics Engineer, you will enjoy the unique opportunity to work on cutting-edge technology while receiving comprehensive support for your professional growth, including training and development initiatives. With a focus on employee well-being and a commitment to impactful projects, Gravis Robotics offers a rewarding environment for those looking to make a difference in the field of robotics.

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Contact Details:

Gravis-Robotics Recruitment Team

We think you need these skills to ace Senior RL Engineer for Real-World Autonomous Excavation in Oxford

Robotics Engineering
Data-Driven Planning
Control Systems
Algorithm Development
Production Systems Integration
Sim2Real Transfer
Python