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Robin Radar, a defence tech leader in radar, seeks a Deep Learning Engineer to design and deploy neural networks that detect small airborne objects in noisy environments. You will work with AI, software, hardware, and product teams to translate radar modalities into robust models.
The role focuses on 3D/4D/5D radar data, edge inference optimization, and field validation to ensure real-world performance and reliability. Fluent English and a proactive, collaborative mindset are essential.
Train the intelligence behind our radars - turning complex signal data into instant, real-world detection.
As our Deep Learning Engineer, you develop, optimize, and deploy neural networks that enhance real-time radar performance. You work side-by-side with AI, Software Engineering, Hardware, and Product Management colleagues - translating abstract radar signal modalities into models that spot small airborne objects in noisy environments. You report to the Team Lead AI, and your models directly safeguard critical sites around the globe.
Robin Radar is a defence technology leader in detecting, tracking and classifying drones and other small airborne objects. Our radars and software protect military sites, borders and critical infrastructure from drone threats, and also help prevent bird strikes in aviation and reduce the impact of wind farms on wildlife. Our work shows up at defence and security sites, airports and wind farms around the world.
We're one of the top 10 fastest-growing companies in the Netherlands, with a crew of bright minds across 30+ nationalities. Growth doesn't mean we lose the plot - eyes on the skies, feet on the ground. Our values keep us grounded: WE TRUST. WE OWN IT. WE AIM HIGH.
Want to work on next-level radar tech, solve real problems, and never have to pretend your job has meaning?
You’ll fit right in - we're saving you a seat.