Computer Vision Engineer

Who you are

• Strong background in computer vision and/or machine learning, with a degree in a related technical field or equivalent experience
• Proficiency in C++ and Python
• Experience with deep-learning frameworks (PyTorch, TensorRT) and classical CV (OpenCV)
• Experience processing lidar and/or radar point-cloud data
• Experience with sensor calibration and multi-sensor fusion
• Demonstrated ability to take algorithms from concept through real-time, embedded deployment
• Experience deploying perception models on NVIDIA Jetson / CUDA-based embedded platforms
• Experience with precision or automated landing systems
• Background in subscale aircraft, robotics, or vehicle perception

What the job involves

• Develop the onboard perception stack, fusing camera, lidar, and radar data for object detection, tracking, and precision landing capabilities
• Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment
• Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar
• Optimize perception algorithms for real-time performance on embedded compute
• Analyze test data to characterize and improve perception performance
• Collaborate with navigation, controls, and hardware teams to integrate perception outputs into the broader system