deep learning engineer for radar computer vision

Robin Radar develops radars and software that track and classify small objects. Its technology helps prevent bird strikes in aviation, reduce the impact of wind farms on wildlife, and protect critical infrastructure from drone threats.

• Build detection, segmentation, and tracking models for complex 3D, 4D, and 5D radar data
• Translate raw signal processing concepts into high-performing neural network architectures
• Develop strategies for handling imperfect, sparse, or missing radar labels
• Automate dataset creation and labeling workflows
• Optimize neural networks using TensorRT for real-time, low-latency inference on edge hardware
• Integrate models into live products with software and radar engineers
• Co-develop and refine deep learning approaches with AI teammates

• Master's degree in Computer Vision, Artificial Intelligence, Computer Science, or a related field
• 5+ Years of professional experience in deep learning research for computer vision
• Expertise in object detection, segmentation, and classification models
• Familiarity with radar data or non-natural signal modalities such as LiDAR, sonar, or medical imaging
• Hands-on experience deploying and optimizing models for edge computing hardware
• Advanced proficiency in Python and PyTorch
• Fluent English, both written and spoken
• Будет плюсом: Experience with TensorRT or similar high-performance inference libraries

• Comprehensive pension plan
• Commuting allowance
• 30 Days of paid holiday leave, with the possibility to buy 3 additional days
• Training and certification opportunities
• A high-quality laptop or desktop, monitor, headphones, and other necessary equipment
• Hybrid work in Delft
• A Certificate of Conduct (VOG) and a background check are part of the screening process