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Autonomous Robotics Expert
2 months ago
About the Opportunity
We are seeking a highly experienced and accomplished researcher to join our team as a Visiting Scholar. As a Visiting Scholar, you will have the unique opportunity to conduct cutting-edge research in autonomous robotics, collaborate with our team of experts, and contribute to the development of innovative technologies.
Key Responsibilities
- Conduct in-depth research in autonomous robotics, focusing on areas such as navigation, planning, perception, mapping, deep learning, reinforcement learning, or generative AI.
- Collaborate with our team to develop and implement new technologies, and provide technical guidance and mentorship to junior researchers.
- Work closely with academic institutions to establish partnerships, develop joint research projects, and publish research papers.
- Represent OTTO Motors as a technology leader in the field of autonomous robotics, through patents, publications, open-source contributions, and public presentations.
- Stay up-to-date with the latest developments in autonomous robotics, and communicate these to the team and stakeholders.
Requirements
- Ph.D. in Computer Science, Engineering, Applied Physics, Mathematics, or equivalent.
- Substantial experience in conducting independent research as a postdoc, professor, or equivalent, including within a larger organization such as a corporate lab or academic institute.
- Broad familiarity with key technologies and modalities in autonomous robotics, including sensing, computation, communication, and actuation.
- Specific expertise in one or more areas of autonomous robotics, with a strong publication record in notable journals or conferences.
- Familiarity with software development and testing methodologies and tools.
- Experience presenting and representing research or work in public.
- Hands-on experience with developing and deploying software for physical robots.
- Strong experience with programming languages such as C++, Python, and ideally more languages (Lua, Rust, etc).
- Strong experience with key libraries such as TensorFlow, PyTorch, Ceres, or OMPL.
- Reasonable experience with frameworks such as ROS1, ROS 2, Gazebo, CUDA, and ideally more.
- Highly proficient with experimental analysis and benchmarking.
