Real-Time Radar Vision Engineer — Edge DL

Robin Radar

Den Haag

On-site

EUR 90,000 - 130,000

Full time

3 days ago

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Benefits offered by this job

Great Place to Work certified

Comprehensive pension plan

Commuting allowance

30 days paid holiday leave (+3)

Job summary

Robin Radar seeks a seasoned Deep Learning Engineer to design and deploy object detection systems for radar data. You will develop 3D/4D/5D radar models, manage datasets, and optimize for edge hardware, collaborating with software and radar engineers to bring research into live products.

The role requires 5+ years in DL for computer vision, strong Python/PyTorch skills, and experience with TensorRT. Fluency in English is essential.

Qualifications

Master's degree in Computer Vision, AI, CS.
5+ years of professional deep learning research for computer vision.
Proven expertise in object detection, segmentation, and classification models.
Deep familiarity with radar data or non-natural signal modalities like LiDAR, sonar, or medical imaging.
Hands-on experience deploying and optimizing models for edge computing hardware.
Advanced proficiency in Python and PyTorch.
Experience with TensorRT or similar high-performance inference libraries is a strong advantage.
Fluent English, both written and spoken.

Responsibilities

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 sparse radar labels and automate labeling workflows.
Model optimization for the edge: Optimize neural networks for real-time, edge hardware using TensorRT.
Cross-functional integration: Collaborate with software and radar engineers to integrate models into live products.