Description

You will develop and implement perception algorithms for autonomous robotic systems, owning sensor fusion, SLAM, and multi-modal sensing pipelines.

This role is on-site.

Responsibilities

• Develop perception algorithms focusing on sensor fusion, SLAM, and multi-modal sensing for autonomous systems.
• Implement computer vision and sensor fusion techniques using data from LiDAR, camera, radar, and IMU sensors.
• Deploy algorithms within real-time systems and embedded software environments.
• Apply deep learning frameworks to perception-specific tasks and optimize for performance.

Required Skills

• 8+ years of experience in perception engineering for autonomous systems.
• Strong programming proficiency in C++ and Python.
• Extensive experience with SLAM algorithms and computer vision.
• Hands-on experience with ROS2.
• Practical experience with LiDAR, radar, and sensor fusion.
• Deep mathematical knowledge of linear algebra, probability theory, and optimization.
• Master's degree or Ph.D. in Computer Science, Robotics, or a related field.
• Experience with machine learning and deep learning frameworks.

Preferred Skills

• Experience with autonomous vehicle perception systems and sensor calibration.
• Knowledge of multi-object tracking, motion prediction, and Autoware.

Key Skills

Education

Master's degree