Real-Time Radar DL Engineer — Edge AI for Drones & Birds

Robin Radar; Den Haag; On-site; EUR 120,000 - 150,000; Full time

Benefits offered by this job

Great Place to Work

Pension plan

Commuting allowance

30 days holiday

Training & certifications

High-end equipment

International team & socials

Job summary

Robin Radar is seeking a Deep Learning Engineer to architect and implement object detection frameworks for non-natural radar imagery. You will work with AI specialists, software engineers, and radar experts to translate research into edge computing hardware powering live radar systems globally.

You will design robust detection, segmentation, and tracking models for complex radar data, optimize for real-time edge performance, and collaborate across teams to deploy models into products.

Qualifications

• Master's degree in Computer Vision, AI, CS or related field.
• 7+ years of deep learning research in computer vision, non-natural imaging (radar preferred).
• Experience with object detection, segmentation, and classification models.
• Familiarity with radar data or non-natural modalities like LiDAR/sonar/medical imaging.
• Hands-on deployment and optimization for edge computing hardware.
• Proficient in Python and PyTorch.
• Experience with TensorRT or similar high-performance inference libraries.
• Fluent English (written and spoken).

Responsibilities

• Design and architect detection/segmentation/tracking models for complex radar data.
• Handle data strategy and labeling workflows for imperfect or sparse radar labels.
• Optimize models for real-time edge inference using TensorRT on field hardware.
• Collaborate with software and radar engineers to integrate models into live products.

Skills

Python

PyTorch

TensorRT

Edge computing

English proficiency

Object detection

Segmentation

Classification

Education

Master's degree in Computer Vision/AI/CS

Tools

TensorRT

Job description

Robin Radar is seeking a Deep Learning Engineer to architect and implement object detection frameworks for non-natural radar imagery. You will work with AI specialists, software engineers, and radar experts to translate research into edge computing hardware powering live radar systems globally.

You will design robust detection, segmentation, and tracking models for complex radar data, optimize for real-time edge performance, and collaborate across teams to deploy models into products.