Senior Perception Engineer

Job Description

We are seeking a highly skilled Senior Perception Engineer to join our team. The ideal candidate will have extensive experience in developing and implementing perception algorithms for robotic systems, with a focus on sensor fusion, SLAM, and multi-modal sensing. Master's or Ph.D. in Computer Science, Robotics, or a related field 3-8 years of experience in perception engineering for autonomous systems Strong programming skills in C++ and Python Extensive experience with SLAM algorithms, computer vision, and sensor fusion techniques Proficiency in working with LiDAR, camera, radar, and IMU sensors Hands-on experience with ROS2 Familiarity with deep learning frameworks and their application to perception tasks Experience with real-time systems and embedded software development Strong mathematical background in linear algebra, probability theory, and optimization Preferred Qualifications Experience with autonomous vehicle perception systems Knowledge of sensor calibration techniques Experience with multi-object tracking and motion prediction Experience with Autoware. Key Skills C++ Sensor fusion SLAM Computer vision LiDAR processing Radar processing ROS2 Autoware Python Machine learning Roles and Responsibilities Design and develop advanced perception algorithms for autonomous robots using LiDAR, Cameras, Radar, and other sensors Implement and optimize sensor fusion techniques to improve object detection, tracking, and localization Develop and maintain SLAM (Simultaneous Localization and Mapping) systems for various robotic platforms Integrate perception algorithms with Autoware and ROS2 frameworks Collaborate with cross-functional teams to ensure seamless integration of perception systems with other components of the autonomous stack Conduct research on state-of-the-art perception techniques and implement novel solutions to improve system performance Participate in the full development lifecycle, including design, implementation, testing, and deployment of perception software