Senior Research Engineer, Mapping & Localization

Key Skills

Algorithms, C++, Deep Learning, Effective communication skills, LiDAR

Job Description

Responsibilities:

• Lidar Algorithm Development: Develop, implement, and optimize LiDAR-based localization and mapping algorithms for autonomous vehicles.
• Senor 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 - $200,000 a year

Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.