Radar DL Engineer - Real-Time Edge Object Detection

Robin Radar; Den Haag; On-site; EUR 60,000 - 95,000; Full time

Benefits offered by this job

Great Place to Work certification

Pension plan

Commuting allowance

30 days holiday (+ 3 optional)

Training & certifications

Equipment provided

International team & social events

Job summary

Robin Radar is seeking a Deep Learning Engineer to develop, optimize, and deploy neural networks that enhance real-time radar performance. You will collaborate with AI, Software, Hardware, and Product teams to translate complex radar modalities into models that spot small airborne objects in noisy environments.

You will design architectures for detection, segmentation, and classification, handle data engineering and automated labeling at scale, and optimize models for edge inference on dedicated

Qualifications

• MSc in Data Science, Computer Science, Artificial Intelligence, or a related technical field.
• 2-4 years of experience in Deep Learning, specifically within Computer Vision.
• Strong proficiency in Python and hands-on experience using PyTorch.
• Practical experience with edge deployment and model optimization tools like TensorRT or ONNX.
• Familiarity with non-natural signal modalities such as radar, sonar, LiDAR, or medical imaging.
• Fluent English, both written and spoken.

Responsibilities

• Model design and architecture: Design, train, and optimize deep learning models for detection, segmentation, and classification. Tailor neural networks to process abstract radar imagery.
• Target classification and tracking: Build neural network architectures to detect and track small objects in noisy environments.
• Data engineering and automation: Prepare, preprocess, and augment large-scale radar datasets; implement automated labeling strategies.
• Edge optimization and deployment: Optimize trained networks for high-performance inference on edge hardware; integrate into production Systems.
• Research and field validation: Evaluate emerging DL techniques and test model robustness under diverse field conditions.

Skills

Deep Learning

Python

PyTorch

Edge deployment

TensorRT/ONNX

Radar data

English fluency

Education

MSc in Data Science, Computer Science, Artificial Intelligence, or related field

Tools

TensorRT

ONNX

Job description

Robin Radar is seeking a Deep Learning Engineer to develop, optimize, and deploy neural networks that enhance real-time radar performance. You will collaborate with AI, Software, Hardware, and Product teams to translate complex radar modalities into models that spot small airborne objects in noisy environments.

You will design architectures for detection, segmentation, and classification, handle data engineering and automated labeling at scale, and optimize models for edge inference on dedicated