A Robotics Engineer designs robots, maintains them, develops new applications for them, and conducts research to expand the potential of robotics. Utilizes a combination of electrical, mechanical, and software engineering. Common coding languages are C++ and Python.
Seeking a highly skilled Robotics/Autonomy Engineer•Computer Vision to lead the development and integration of advanced perception, vision-based navigation, and autonomy software for a small unmanned electric aircraft. You will collaborate closely with flight software, aeromechanical, and avionics teams to deliver robust autonomy solutions for GPS-denied, contested, and complex operating environments from prototype through production. The position focuses on cutting-edge computer vision, sensor fusion, and real-time autonomy algorithms that enable resilient operations in austere conditions. Key Responsibilities Design, develop, and optimize computer vision and ISP software for real-time robotic and UAV applications Develop computer vision algorithms for perception, navigation, target detection, and tracking in GPS-denied and contested environments Implement and maintain camera drivers, video pipelines, and hardware-accelerated vision algorithms Integrate vision systems with navigation, control, and autonomy software stacks Implement and validate autonomy capabilities using vision-based inputs and multi-sensor data Support sensor fusion, SLAM, obstacle avoidance, and autonomous navigation functionality Select, configure, integrate, and test vision sensors and compute payloads Ensure software solutions are scalable, maintainable, efficient, and production-ready Collaborate with hardware, systems, avionics, and autonomy engineers to deliver end-to-end solutions Troubleshoot and resolve system-level issues involving camera systems and vision pipelines Participate in field testing, data collection, performance analysis, and system refinement Document software architecture, algorithms, implementation details, and test procedures Stay current with emerging computer vision, machine learning, and hardware acceleration technologies Technical Skills Strong understanding of image formation, filtering, feature extraction, segmentation, optical flow, object detection, tracking, and recognition Experience with camera calibration (intrinsic and extrinsic) and synchronization of multi-sensor data Proficiency with OpenCV, GStreamer, and V4L2 Experience with hardware acceleration technologies including CUDA, SIMD, Vulkan, or similar frameworks Familiarity with Nvidia Jetson platforms, FPGAs, VPUs, Intel Movidius, and Coral TPU Experience with deep learning-based computer vision techniques including CNNs, transformers, and object detection/segmentation frameworks such as YOLO, Faster R-CNN, Mask R-CNN, DETR, and SAM Knowledge of classical computer vision algorithms including SIFT, SURF, ORB, HOG, Harris, and FAST Understanding of image and video stabilization, SLAM, and 3D reconstruction Experience with Docker and containerized development environments Proficiency with Git and CMake Required Qualifications Bachelor's degree or higher in Computer Engineering, Electrical Engineering, Computer Science, Robotics, or a related field 5+ years of industry experience in computer vision, robotics, embedded systems, or related disciplines Proven experience developing image signal processing (ISP) and computer vision software Hands-on experience with MIPI Camera Serial Interface (CSI) and image sensor driver development Experience integrating and operating camera systems within UAVs or autonomous platforms Knowledge of video codecs such as H.264 and H.265 Experience with video transmission technologies and protocols including RTSP and MPEG-TS Strong programming skills in C++, Python, and/or Rust Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
