About the Role
Develop and refine highly accurate and consistent localization systems using Lidar odometry and advanced pose graph optimization techniques. This role focuses on achieving robust localization in challenging environments and for long-term consistency.
Responsibilities
- Design and implement Lidar odometry algorithms for real-time vehicle motion estimation.
- Develop and optimize pose graph optimization frameworks for global consistency.
- Integrate Lidar-based localization with other sensor modalities.
- Work on loop closure detection and correction strategies.
- Evaluate and fine-tune localization performance using rigorous metrics.
Requirements
- Deep expertise in Lidar-based localization, odometry, and SLAM.
- Strong background in graph optimization and non-linear least squares.
- Proficiency in C++ and relevant linear algebra libraries.
- Experience with large-scale point cloud processing.
Qualifications
Experience with real-time optimization, distributed mapping, or learned odometry.
Benefits
- Competitive salaries, stock options & 401(k) plan with match
- Daily catered lunches & a fully stocked kitchen
- Comprehensive health and wellness benefits, including paid parental leave
- Company events, retreats and team social hours
- Collaborative office space built for productivity & wellbeing
- Furry friends are welcome at our pet friendly office