Radar Vision Deep Learning Engineer – Real-Time Edge AI

Robin Radar Systems; Delft; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Great Place to Work® certification

Comprehensive pension plan

Commuting allowance

30 days paid holiday leave (+3)

Training and certifications

High quality equipment

International team of 30+ nationalites

Job summary

Robin Radar Systems is seeking a Deep Learning Engineer to turn radar data into real-time detections. You will architect and implement object detection frameworks for non-natural radar imagery, and work with AI, software, and radar experts to translate research into edge-ready solutions.

Reporting to the AI Lead, you will power live radar systems globally, optimize models for edge hardware, and collaborate closely with cross-functional teams in an international environment.

Qualifications

• Master's degree in Computer Vision, AI, CS, or related field.
• 7+ years of deep learning research experience in computer vision, with non-natural imaging like radar.
• Proven expertise in object detection, segmentation, and classification models.
• Hands-on experience deploying models to edge computing hardware.

Responsibilities

• Framework design for robust detection, segmentation, and tracking on radar data.
• Label management and data strategy for imperfect radar labels; automate datasets.
• Optimize models for edge computing with TensorRT for real-time inference.
• Collaborate with software and radar engineers to deploy models in live products.

Skills

Python

Deep learning research

Object detection

Segmentation

Classification models

English proficiency

Education

Master's degree in Computer Vision or related field

Tools

PyTorch

TensorRT

Job description

Robin Radar Systems is seeking a Deep Learning Engineer to turn radar data into real-time detections. You will architect and implement object detection frameworks for non-natural radar imagery, and work with AI, software, and radar experts to translate research into edge-ready solutions.

Reporting to the AI Lead, you will power live radar systems globally, optimize models for edge hardware, and collaborate closely with cross-functional teams in an international environment.