2 months ago
Mountain View, CA, USASenior / Staff+
H1B Sponsor
Base Salary
$180k - $250k/yr
Responsibilities
- Design, develop, and optimize sensor-based localization and odometry algorithms.
- Implement algorithms for sensor fusion using IMU, GPS, Lidar, and other sensors.
- Develop and integrate real-time SLAM techniques for various environments.
- Collaborate with perception, mapping, and control teams for seamless integration.
- Conduct testing and validation in simulation and real-world scenarios.
- Analyze and debug localization issues, implementing improvements.
- Research state-of-the-art techniques in lidar and camera-based localization.
- Contribute to performance benchmarking and continuous improvement efforts.
Requirements
- M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
- 6+ years of industry experience in C++ software development.
- 2+ years of experience in the AV/ADAS industries.
- Experience in developing localization algorithms for autonomous vehicles.
- Proficiency in C++ and Python, with hands-on experience in ROS/ROS2.
- Experience with pose estimation, SLAM, and probabilistic filtering.
- Practical experience in processing large-scale data sets.
- Expert-level knowledge of SLAM and GNSS/INS.
- Experience with sensor fusion and calibration techniques.
- Experience with performance optimization and real-time system requirements.