Real-Time Radar Vision Engineer — Edge AI

Rotterdam Innovation City; Den Haag; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Great Place to Work® certified

Comprehensive pension plan

Commuting allowance

30 days of paid holiday

Training and certifications

High quality equipment

International team of 30+ nationalites

Job summary

Robin Radar is seeking a Deep Learning Engineer to turn complex radar data into clear detections for real-time operation. You will design detection and tracking models, handle challenging labeling scenarios, and optimize networks for edge hardware.

Close collaboration with radar and software teams will bring research to live, fielded systems. The role requires hands-on deployment experience, Python and PyTorch expertise, and a track record of building robust computer-vision models for

Qualifications

• Master's degree in Computer Vision, AI, CS or related field.
• 5+ years of deep learning research experience in computer vision.
• Expertise in object detection, segmentation, and classification models.
• Familiarity with radar data or non-natural signal modalities.

Responsibilities

• Design and implement robust detection, segmentation, and tracking models for 3D/4D/5D radar data.
• Develop data strategies and labeling workflows for imperfect radar labels.
• Optimize models for edge computing and real-time inference using TensorRT.
• Collaborate with radar and software engineers to integrate models into live products.

Skills

Python

PyTorch

Object detection

Segmentation

Classification

Radar data

Edge deployment

Deep learning

Education

Master's degree in Computer Vision / AI / CS

Tools

TensorRT

Job description

Robin Radar is seeking a Deep Learning Engineer to turn complex radar data into clear detections for real-time operation. You will design detection and tracking models, handle challenging labeling scenarios, and optimize networks for edge hardware.

Close collaboration with radar and software teams will bring research to live, fielded systems. The role requires hands-on deployment experience, Python and PyTorch expertise, and a track record of building robust computer-vision models for