Tech Stack

Description

You will design and optimize sensor-based localization and odometry algorithms for autonomous vehicles, implement sensor fusion with IMU, GPS, Lidar, and other sensors, and develop real-time SLAM techniques for structured and unstructured environments. You'll collaborate with perception, mapping, and control teams to integrate localization into the autonomous driving stack.

Requirements

• M.S. or Ph.D. in Robotics, Computer Science, or related field
• Experience with sensor fusion and localization algorithms
• Proficiency in C++ and Python
• Experience with SLAM and state estimation
• Knowledge of lidar and camera-based localization

Responsibilities

• Design, develop, and optimize sensor-based localization and odometry algorithms
• Implement sensor fusion using IMU, GPS, Lidar, and other sensors
• Develop and integrate real-time SLAM techniques
• Collaborate with perception, mapping, and control teams
• Conduct testing in simulations and real-world scenarios