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Research Scientist

2 months ago

Kitchener, Ontario, Canada Clearpath Robotics Full time
About the Role

We are seeking a highly skilled and experienced Research Scientist to join our team as a Visiting Scholar. As a key member of our research team, you will be responsible for conducting cutting-edge research in autonomous robotics, collaborating with our existing team, and contributing to the development of new technologies.

Key Responsibilities
  • Conduct direct research in autonomous robotics, focusing on areas such as navigation, planning, perception, mapping, deep learning, reinforcement learning, or generative AI.
  • Collaborate with our R&D contributors, providing technical guidance and mentorship to ensure the success of our projects.
  • Work closely with academic institutions, including technology transfer, dataset development and sharing, and joint publications.
  • Represent OTTO Motors as a technology leader in your area of expertise, including patents, publications, open-source contributions, and public presentations.
  • Stay up-to-date with the latest developments in autonomous robotics, including past work and future trends, and communicate these to our team.
Requirements
  • Ph.D. in Computer Science, Engineering, Applied Physics, Mathematics, or equivalent.
  • Substantial experience in conducting R&D as a postdoc, professor, or equivalent, including within a larger organization such as a corporate lab or academic institute.
  • Broad familiarity with key hardware technologies and modalities covering sensing, computation, communication, and actuation.
  • Specific familiarity with one or more of the above fields, with multiple papers published in notable journals or conferences.
  • Familiarity with software development and testing methodologies and tools.
  • Experience presenting and representing your work or organization in public.
  • Hands-on experience with developing and deploying software for physical robots.
  • Strong experience with C++, Python, and ideally more languages (Lua, Rust, etc).
  • Strong experience with key libraries such as TensorFlow, PyTorch, Ceres, or OMPL.
  • Reasonable experience with ROS1, ROS 2, Gazebo, CUDA, and ideally more frameworks.
  • Highly proficient with experimental analysis and benchmarking.