Real-Time Radar AI Engineer - Edge Detection & Deployment

Robin AI Limited; Den Haag; Sur place; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Pension plan

Commuting allowance

30 days holiday

Training & certifications

Equipment provided

International team & social events

Résumé du poste

Robin Radar in the Netherlands is seeking a Senior Deep Learning Engineer to design and implement advanced object detection, segmentation, and classification models for non-natural radar imagery. You will optimize models for edge computing, collaborate with radar, software and AI teams, and translate research into real-time deployments on live radar systems worldwide.

Responsibilities include developing robust 3D/4D/5D radar data processing pipelines, managing datasets, and deploying

Qualifications

• Master's degree in Computer Vision, AI, CS, or related field.
• 7+ years of deep learning research in computer vision, radar preferred.
• Expertise in object detection, segmentation, and classification models.
• Proficient in Python and PyTorch; experience with edge deployment.

Responsabilités

• Framework design and architecture: Build robust detection, segmentation, and tracking models for complex radar data.
• Data strategy and label management: Develop strategies to handle imperfect or missing radar labels; automate dataset creation.
• Model optimization for the edge: Optimize neural networks for real-time, low-latency inference on edge hardware using TensorRT.
• Cross-functional integration: Collaborate with software and radar engineers to deploy models into live products.

Connaissances

Python

PyTorch

Object detection

Segmentation

Edge deployment

Radar data familiarity

TensorRT knowledge

English proficiency

Formation

Master's degree in Computer Vision / AI / CS

Outils

TensorRT

Description du poste

Robin Radar in the Netherlands is seeking a Senior Deep Learning Engineer to design and implement advanced object detection, segmentation, and classification models for non-natural radar imagery. You will optimize models for edge computing, collaborate with radar, software and AI teams, and translate research into real-time deployments on live radar systems worldwide.

Responsibilities include developing robust 3D/4D/5D radar data processing pipelines, managing datasets, and deploying