Senior Perception Engineer

Project:

The engineer will lead complex perception features from development through integration and validation. The role will focus on perception algorithms, sensor fusion, environmental modeling, and real-time autonomous vehicle applications while working closely with autonomy, embedded software, systems, and test teams.

Required Skills:

• 10+ years of experience in perception, computer vision, robotics, sensor fusion, or autonomous systems
• Strong C++ and Python development experience
• Hands-on experience with cameras, LiDAR, radar, GPS/GNSS, and IMU sensors
• Strong experience with object detection, classification, segmentation, tracking, obstacle detection, and free-space detection
• Experience with LiDAR point-cloud processing and 3D geometry
• Strong understanding of sensor calibration, coordinate transformations, and data synchronization
• Experience developing and integrating perception software for autonomous or robotic systems
• Experience with ROS or ROS2
• Strong Linux development experience
• Experience optimizing real-time software for embedded CPUs and GPUs
• Experience evaluating perception performance using recorded data, simulation, SIL/HIL testing, and vehicle testing
• Ability to troubleshoot complex sensor, software, calibration, and system-integration issues
• Experience leading technical workstreams and providing guidance to other engineers

Preferred Skills:

• Experience with autonomous logistics vehicles, heavy equipment, industrial vehicles, or mobile robotics
• Experience with OpenCV, PCL, PyTorch, TensorFlow, CUDA, or TensorRT
• Experience with multi-sensor fusion and Kalman filtering
• Experience with occupancy grids, semantic mapping, environmental modeling, or multi-object tracking
• Experience with docking, alignment, pallet/container detection, or precision positioning
• Experience validating autonomous systems in industrial or challenging outdoor environments

Education:

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field. Master’s degree preferred.

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Flexible work from home options available.