This role involves designing, training, and deploying real-time vision models for detection, classification, tracking, and state estimation on fast-moving aerial targets. The engineer will optimize networks and CV algorithms using CUDA and TensorRT for real-time performance on NVIDIA Jetson Orin-class hardware. Integration into the autonomy stack using ROS 2 and writing production-quality C++ for real-time processing are key aspects. The position also includes deploying, benchmarking, and maintaining models on embedded edge compute aboard autonomous vehicles, as well as participating in field tests and data collection to rapidly iterate on model development.
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Job Type
Full-time
Career Level
Mid Level