Computer Vision Engineer, Senior
Designs and optimizes embedded computer vision pipelines for real-time detection, tracking, and 3D localization of fast-moving drone threats in autonomous counter-UAS systems. Requires expertise in C++/Python, OpenCV, deep learning frameworks, sensor fusion, and edge deployment on NVIDIA Jetson.
About the job
Responsibilities
- Architect and implement the entire embedded CV pipeline using high-performance Python and C++.
- Design and deploy robust multi-object tracking and sensor fusion algorithms for high-fidelity state estimation of fast-moving targets.
- Utilize real-time models (e.g., YOLO) and CNNs optimized for speed.
- Optimize code for low-latency performance on resource-constrained NVIDIA Jetson environments using TensorRT and TFLite.
- Apply principles of calibration, rectification, and 3D geometry to translate 2D footage into accurate 3D coordinates for fire control.
- Collaborate with robotics teams to ensure reliable perception data for autonomous decision-making.
Requirements
- Strong background in C++ (for performance) or Python.
- Deep expertise in VIO, VO, and SLAM frameworks for real-time state estimation.
- Proficiency in OpenCV and image-processing modules in PyTorch or TensorFlow.
- Experience with DNN inference libraries (e.g., TensorRT, TFLite) for edge deployment.
- Hands-on experience building embedded CV systems for real-time applications involving small, fast objects.
- Deep understanding of camera calibration and 3D geometry.
Preferred Qualifications
- Prior defense startup experience.
- Security clearance or ability to obtain one.
Skills
C++, Python, Opencv, PyTorch, TensorFlow, TensorRT, Tflite, Yolo, Slam, Vio, Vo, Nvidia Jetson
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