Deep Learning Engineer (Radar Computer Vision)

Delft · Remotefull time

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Remote

senior

H1B: no

Robin Radar Deep Learning Engineer at Robin Radar designing and implementing object detection frameworks for non-natural radar imagery. Optimizes models for real-time edge computing hardware and collaborates with AI and radar experts.

Responsibilities

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 computer vision, specializing in non-natural imaging modalities (radar preferred)
Proven expertise in object detection, segmentation, and classification models
Deep familiarity with radar data or non-natural signal modalities like LiDAR, sonar, or medical imaging
Hands-on experience deploying and optimizing models for edge computing hardware
Advanced proficiency in Python and PyTorch
Experience with TensorRT or similar high-performance inference libraries is a strong advantage
Fluent English, both written and spoken

Qualification

Master's degree in Computer VisionExpertise in object detectionFluent English

Required

Master's degree in Computer Vision, Artificial Intelligence, Computer Science, or related field
7+ years deep learning research experience in computer vision
Specialization in non-natural imaging modalities (radar preferred)
Expertise in object detection, segmentation, and classification models
Familiarity with radar data or similar modalities like LiDAR, sonar, or medical imaging
Experience deploying and optimizing models for edge computing hardware
Advanced proficiency in Python and PyTorch
Experience with TensorRT or similar inference libraries
Fluent English

Benefits

Vision

Company

Robin Radar

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Source: ashby

Active within the past hour

Remote-friendly

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Must-Have Skills for This Role

PythonPyTorchTensorRTObject detectionSegmentationTracking

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