You will work on low-latency camera pipelines, small-object detection, object tracking, sensor fusion, visual odometry, precision landing, camera calibration, embedded inference, and data pipelines for training and validation. * Optimize perception pipelines for embedded execution on NVIDIA Jetson platforms. * Benchmark and evaluate different model and algorithm families, including approaches such as CenterNet, SuperPoint, SuperGlue, optical flow, feature tracking, object detection, and lightweight embedded models. * Build deployment pipelines using ONNX, TensorRT, custom inference runners, or comparable embedded inference tooling. * Collaborate closely with autonomy, flight control, embedded software, test, and systems engineering teams. * Experience with embedded inference, ideally on NVIDIA Jetson, CUDA, TensorRT, ONNX, GStreamer, V4L2, or similar technologies.
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