Radar AI Engineer - Real-Time Detection & Edge Inference

Robin AI Limited; Den Haag; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Great Place to Work® certified company

Commuting allowance

Comprehensive pension plan

30 days paid holiday leave (+3 days)

Training and certifications

High-quality equipment provided

Job summary

Robin Radar, a defence technology leader, seeks a Deep Learning Engineer to build and deploy neural networks that enhance radar performance and safeguard global sites. You will work with AI, Software, Hardware, and Product teams, translating radar modalities into actionable models.

The role emphasizes edge deployment, data engineering, and field validation. Bring an MSc in a related field, 2–4 years in Deep Learning (CV), and strong Python/PyTorch skills.

Qualifications

• MSc in Data Science, CS, AI or related field.
• 2–4 years in Deep Learning, with Computer Vision.
• Strong Python and PyTorch skills.
• Experience with edge deployment and optimization tools (TensorRT/ONNX).
• Familiarity with radar/sonar/LiDAR or medical imaging.
• Fluent English, written and spoken.
• Proactive mindset and collaborative problem-solving.

Responsibilities

• Model design, train, and optimize DL models for detection, segmentation, and classification.
• Handle data engineering: preprocess and augment large radar datasets.
• Develop edge-optimized inference pipelines with embedded hardware.
• Collaborate with AI, Software, Hardware, and Product teams.
• Evaluate new DL techniques and validate models in field conditions.

Skills

Python

PyTorch

Edge deployment

Model optimization

Education

MSc in Data Science/CS/AI

Tools

TensorRT

ONNX

Job description

Robin Radar, a defence technology leader, seeks a Deep Learning Engineer to build and deploy neural networks that enhance radar performance and safeguard global sites. You will work with AI, Software, Hardware, and Product teams, translating radar modalities into actionable models.

The role emphasizes edge deployment, data engineering, and field validation. Bring an MSc in a related field, 2–4 years in Deep Learning (CV), and strong Python/PyTorch skills.