01Responsibilities
Model development: Train, fine-tune, and evaluate deep learning models for objectdetection, classification, and tracking on EO and IR imagery.
Edge deployment: Optimize and deploy models to NVIDIA Jetson and other edge AIaccelerators using TensorRT, ONNX, and TFLite. Profile, quantize, and squeeze real-time performance out of constrained hardware.
Real-time pipelines: Help build and maintain multi-camera streaming and inferencemodules.
Datasets & evaluation: Curate and augment EO/IR datasets, build evaluationharnesses, and run structured experiments to track model quality over time.
Prior experience handling and using Cameras would be great.Cross-functional work: Collaborate with systems, embedded, and product teams to take a model from research prototype to a fielded product.
Other Competencies:
Experience with hands-on development of code for real time scenarios, not limited to PC/Cloud related developments.Computer / Technical Skills.Software Development in C++ and Python. .
