Deep Learning Engineer (Radar Computer Vision)

• Your next mission
• Turn complex radar data into clear detections – so our software can spot birds, drones, and airborne threats in real time.
• As our Deep Learning Engineer, you architect and implement object detection frameworks for non-natural radar imagery. You work side-by-side with fellow AI specialists, software engineers, and radar experts to ensure your research translates directly to edge computing hardware.
• Reporting to the AI Lead, your models directly power live radar systems across the globe.

Framework design and architecture: Build robust detection, segmentation, and tracking models for complex 3D, 4D, and 5D radar data. Translate raw signal processing concepts into high-performing neural network architectures.

Data strategy and label management: Develop innovative strategies to handle imperfect, sparse, or missing radar labels. Automate dataset creation and labeling workflows to keep research moving fast.

Model optimization for the edge: Optimize neural networks using TensorRT for real-time, low-latency inference. Ensure every model runs smoothly on edge hardware deployed in the field.

Cross-functional integration: Partner closely with software and radar engineers to integrate your models into live products. Co-develop and refine deep learning approaches alongside your AI teammates.

Master's degree in Computer Vision, Artificial Intelligence, Computer Science, or a related field

7+ years of deep learning research experience in c