Computer Vision Engineer
Summary
Build and optimize computer-vision pipelines for robotics, including sensor fusion, model evaluation, and deployment on edge hardware.
- Design and implement computer vision and sensor fusion pipelines for real-world robotics systems.
- Evaluate model performance, latency and robustness across hardware targets and field data.
- Collaborate with platform engineers to package perception modules for repeatable deployment.
What we are looking for
- Production experience with Python and C++ for computer vision, ML inference or robotics workloads.
- Practical understanding of camera geometry, calibration, tracking, detection or segmentation.
- Ability to reason from noisy field data and turn experiments into maintainable systems.
Useful experience
- Experience with edge AI deployment, ONNX, TensorRT, OpenCV, ROS or embedded GPU targets.
- Exposure to EO/IR, SWIR, acoustic or multi-modal sensing.