✨ About The Role
- The role involves designing and implementing high-performance algorithms for motion estimation, object tracking, mapping, and localization.
- Candidates will define, execute, and analyze full-system field tests to validate the performance of their solutions in real-world scenarios.
- Collaboration with cross-disciplinary teams is necessary to enhance the reliability, performance, and scalability of the autonomous system.
- The position requires a hands-on approach, with a willingness to engage in field tests and practical applications of the technology.
- The ability to obtain and maintain a DOD Security Clearance is a requirement for this position.
âš¡ Requirements
- The ideal candidate will have a strong technical background with an MS or PhD in Computer Science, Robotics, or a similar field.
- A minimum of 2 years of industry experience in software development is required, showcasing a solid foundation in the field.
- Candidates should possess grit and thrive in a small-team environment, demonstrating ownership of challenges and collaborative skills.
- Proficiency in programming languages, particularly C++ and Python, is essential for success in this role.
- Expertise in sensor fusion and state estimation techniques is crucial, along with experience in non-linear optimization libraries.