Radar AI Engineer Real-Time Object Detection

Robin Radar; Den Haag; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Great Place to Work certified company

Comprehensive pension plan

Commuting allowance

30 days paid holiday (buy 3)

Training and certifications

High quality equipment

International team of 30+ nationalites

Job summary

Robin Radar seeks 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 radar signal modalities into models that detect small objects in noisy environments.

The role emphasizes edge deployment, model optimization, and field validation, with a strong focus on practical data engineering and robust inference in challenging conditions.

Qualifications

• MSc in Data Science, Computer Science, Artificial Intelligence, or related field.
• 2–4 years of Deep Learning experience, especially in Computer Vision.
• Strong Python skills and PyTorch experience.
• Hands-on experience with edge deployment and optimization tools like TensorRT or ONNX.
• Familiarity with radar, sonar, LiDAR, or medical imaging modalities.
• Fluent English (written and spoken).
• Proactive mindset and collaborative approach.

Responsibilities

• Model design and architecture: design, train, and optimize deep learning models for detection, segmentation, and classification. Tailor networks for 3D/4D/5D radar imagery.
• Target classification and tracking: detect and track small objects amid noise and weather.
• Data engineering and automation: prepare, preprocess, and augment large radar datasets; automate labeling at scale.
• Edge optimization and deployment: optimize models for high-performance inference on edge hardware with software teammates.
• Research and field validation: evaluate emerging DL techniques and test robustness in diverse field conditions.

Skills

Deep Learning

Python

PyTorch

Edge deployment

Radar/Signal familiarity

English fluency

Education

MSc in Data Science / Computer Science / AI

Tools

TensorRT

ONNX

Job description

Robin Radar seeks 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 radar signal modalities into models that detect small objects in noisy environments.

The role emphasizes edge deployment, model optimization, and field validation, with a strong focus on practical data engineering and robust inference in challenging conditions.