Responsibilities :
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- Lidar Algorithm Development : Develop, implement, and optimize LiDAR-based localization and mapping algorithms for autonomous vehicles.
- Sensor Fusion Development : Integrate LiDAR data with other sensor data (e.g., GPS, IMU, cameras) to create accurate, real-time maps and localization solutions.
- Solution Deployment : Lead deployment of localization and mapping solutions into the autonomous driving stack collaborating with software, hardware and product teams.
- Issue Resolution : Triage and debug issues related to localization and mapping, ensuring continuous improvement and system robustness.
- Map Support : Support the online and offline generation and interfacing of maps to maintain and enhance localization accuracy.
- System Improvement : Drive improvements to the continuous integration (CI) system for localization and mapping, enhancing efficiency and reliability.
Required Skills :
- MS or PhD in CS, EE, Robotics or a related field.
- Proven experience in LiDAR-based localization and mapping for autonomous vehicles or robotics.
- Strong background in sensor fusion, particularly with LiDAR, GPS, IMU, and camera data.
- Proficiency in C++ and ROS.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication skills and the ability to effectively convey technical concepts to non-technical team members.
Preferred Skills :
- Relevant industry experience (prior work on self-driving vehicles, drone, autonomy and / or robotics projects).
- Experience with Gaussian splatting / NeRF is a plus.
- Experience with deep learning techniques applied to localization and mapping is a plus.
Salary Range :
$170,000 - $210,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
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