deep learning engineer for radar computer vision

Описание: 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.

Задачи:

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

Требования:

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

Условия:

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

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