Radar DL Engineer — Edge AI for Real‑Time Detection

Rotterdam Innovation City; Den Haag; On-site; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Great Place to Work certification

Comprehensive pension plan

Commuting allowance

30 days of paid holiday leave (with 3/

Training and certifications

High quality equipment

International team and social events

Job summary

Robin Radar seeks a Deep Learning Engineer to design, train, and deploy neural nets that boost radar accuracy in real-time. You’ll work with AI, Software, Hardware and Product teams to translate complex radar signals into robust models for detecting small objects in cluttered environments.

You’ll optimize models for edge devices, validate them in field conditions, and contribute to production-ready systems while advancing radar capabilities and safety globally.

Qualifications

• MSc in a technical field with solid DL fundamentals.
• 2–4 years of hands-on deep learning experience in computer vision.
• Strong Python skills with practical PyTorch experience.
• Experience with edge deployment and model optimization tools (TensorRT / ONNX).
• Familiarity with radar, sonar, LiDAR, or similar non-natural signal modalities.
• Fluent English, both written and spoken.
• Proactive mindset and collaborative work style.

Responsibilities

• Model design and architecture for detection, segmentation, and classification.
• Target classification and tracking of small objects under noisy conditions.
• Data engineering and automation for large-scale radar datasets.
• Edge optimization and deployment for production integration.
• Research and field validation of new DL techniques.

Skills

Deep Learning

Python

PyTorch

Edge deployment

TensorRT

ONNX

Radar signal processing

English proficiency

Problem solving

Education

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

Tools

PyTorch

TensorRT

ONNX

Job description

Robin Radar seeks a Deep Learning Engineer to design, train, and deploy neural nets that boost radar accuracy in real-time. You’ll work with AI, Software, Hardware and Product teams to translate complex radar signals into robust models for detecting small objects in cluttered environments.

You’ll optimize models for edge devices, validate them in field conditions, and contribute to production-ready systems while advancing radar capabilities and safety globally.