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Roles
Compensation
Full-time position; onsite (80%, 1 flexible day/week).
Tech stack
Required
Nice to have
Location
The Hague, NL
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- ONSITE (80%, 1 flexible day/week)
- Remote scope
- onsite
- Visa
- NL-visa sponsorship: highly-skilled-migrant + 30%-ruling for the right person
- Authorization
- EU-based or NL-visa-eligible (sponsorship provided)
Role details
Responsibilities
- Own the full pipeline end-to-end: raw FMCW/MIMO signal in, deployed embedded model out
- Work on deployed embedded models using ONNX, TensorRT, and edge TPUs
- Build and operate real hardware and work with real customers
Requirements
- MSc/PhD in ML/EE/signal processing
- Strong PyTorch and Python
- Embedded deployment experience
- Rust or C/C++ is a plus
- EU-based or NL-visa-eligible (NL-visa sponsorship for the right person)
Application
Apply via the job link or email radar-ai-engineer@mail.husense.io with the one project you're proudest of.
- Portfolio
- unclear
- GitHub
- not required
- Cover letter
- unclear
- Apply flow
- ats
- Canonical URL
- https://husense.odoo.com/jobs/radar-ai-engineer-6
Company context
Privacy-first radar + ML that can see what cameras can't, 24/7 through walls/weather/crowds, without faces and without audio.
- Product
- Radar + ML systems for smart cities, sports analytics, smart buildings, and defense perception
- Industry
- Radar + machine learning for smart cities, sports analytics, smart buildings, and defense perception
- HQ
- Den Haag, Netherlands
- Stage
- startup
Contact
radar-ai-engineer@mail.husense.io
Description
We build radar + ML for smart cities, sports analytics, smart buildings, and defense perception. Our sensors see what cameras can't — 24/7, through walls/weather/crowds, with no faces and no audio. Customers include the Dutch police, Gemeente Den Haag, Gemeente Amsterdam, KLM, Koninklijke Marechaussee. TU Delft partner. Hiring our first Radar AI Engineer to own the full pipeline end-to-end: raw FMCW/MIMO signal in, deployed embedded model out (ONNX, TensorRT, edge TPUs). Real hardware. Real customers. Privacy-first by design. Looking for: MSc/PhD in ML/EE/signal processing; strong PyTorch + Python; embedded deployment experience; Rust or C/C++ a plus. EU-based or NL-visa-eligible (we sponsor highly-skilled-migrant + 30%-ruling for the right person). Process: first call in 5 days, decision in 3 weeks. Founder-led, no multi-month limbo. Apply: https://husense.odoo.com/jobs/radar-ai-engineer-6 or email radar-ai-engineer@mail.husense.io with the one project you're proudest of.
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