Deep Learning Engineer (Radar Computer Vision)
This listing is for a Deep Learning Engineer (Radar Computer Vision) role at Robin Radar, in Delft, Netherlands. The listing describes it as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a Deep Learning Engineer (Radar Computer Vision) role at Robin Radar, in Delft, Netherlands. The listing describes it as a full-time position.
From the advert, the main requirements are 7+ years of experience and English language skills.
The advert mentions Python, deep learning, PyTorch and computer vision among the skills and tools for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Benefits mentioned in the advert: pension or retirement plan and paid time off.
Visa sponsorship is not mentioned. Applicants from outside Netherlands should check the official work permit route before applying.
Dev Global Jobs found this job on Arbeitnow on Nov 3, 2026.
- Employer
- Robin Radar
- Location
- Delft, Netherlands
- Job type
- Full-time
- Pay
- Not stated by the employer
- Experience asked
- 7+ years
- Languages asked
- English
- Found
- Nov 3, 2026 on Arbeitnow
- Employer text
- 517 words, about 2 min to read
- Apply only on the official page (arbeitnow.nl). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 7+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (Python, deep learning, PyTorch and computer vision) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in English plainly (for example B2 or C1).
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Netherlands (ICSC post adjustment 42.9), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Highly Skilled Migrant: Recognised sponsor and salary threshold
- EU Blue Card: Degree and salary threshold
- Orientation year for highly educated persons: Graduates of Dutch or top world universities, 1 year job search
Official routes: Immigration and Naturalisation Service (IND)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01Your next mission
Turn complex radar data into clear detections, so our software can spot birds, drones, and airborne threats in real time.
As our Deep Learning Engineer, you architect and implement object detection frameworks for non-natural radar imagery. You work side-by-side with fellow AI specialists, software engineers, and radar experts to ensure your research translates directly to edge computing hardware.
Reporting to the AI Lead, your models directly power live radar systems across the globe.
02What you'll do
Framework design and architecture: Build robust detection, segmentation, and tracking models for complex 3D, 4D, and 5D radar data. Translate raw signal processing concepts into high-performing neural network architectures.
Data strategy and label management: Develop innovative strategies to handle imperfect, sparse, or missing radar labels. Automate dataset creation and labeling workflows to keep research moving fast.
Model optimization for the edge: Optimize neural networks using TensorRT for real-time, low-latency inference. Ensure every model runs smoothly on edge hardware deployed in the field.
Cross-functional integration: Partner closely with software and radar engineers to integrate your models into live products. Co-develop and refine deep learning approaches alongside your AI teammates.
03What you bring
Master's degree in Computer Vision, Artificial Intelligence, Computer Science, or a related field
7+ years of deep learning research experience in computer vision, specializing in non-natural imaging modalities (radar preferred)
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
04What we offer
Working for a Great Place to Work® certified company;
Comprehensive pension plan;
Commuting allowance;
30 days of paid holiday leave (with the possibility to buy 3 additional days);
Opportunities to develop your skills even further through training and certifications;
High quality laptop/desktop, monitor, headphones, and any other equipment necessary for your role;
An international team of 30+ nationalities, full of high performance colleagues you can exchange experiences with and learn from. As well as having a lot of fun in our social events and Friday drinks!
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?
05You'll fit right in, we're saving you a seat
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