Machine Vision Engineer

Company Description The Vydar Group develops AI electronics for navigation in defence for NATO-friendly nations, with a focus on strengthening European technological autonomy. Vydar build hardware and software for attritable and scalable systems. These efforts are complemented by research and development in artificial intelligence-related technologies. Team members collaborate in a highly technical, mission-driven environment, contributing to solutions that support defense and security applications.

Role Description
The Machine Vision Engineer role at The Vydar Group is a full-time, on-site position based in Delft. This role involves designing, implementing, and optimizing machine vision algorithms that run on constrained embedded hardware, in particular NPU-based accelerators, in support of autonomous vehicle platforms and integrated defense technologies. Day-to-day tasks include developing and training detection, tracking, and segmentation models, quantizing and compiling networks for the target NPU, profiling latency, memory, and power budgets, and collaborating with multidisciplinary teams such as software, AI, electrical, and mechanical engineering.

The Machine Vision Engineer will also participate in data collection and annotation pipelines, on-vehicle integration and field testing, troubleshooting, documentation, and continuous improvement of the perception stack to meet real-time performance, safety, and reliability requirements.

Qualifications

NATO CITZENSHIP

MSc in Electrical Engineering, Computer Engineering, or equivalent practical experience

Hands-on experience developing for embedded and resource-constrained hardware (MCUs, SoCs, DSPs, or FPGAs)

Proven track record optimizing neural networks for target hardware: quantization, pruning, operator fusion, deployment etc.

Strong programming skills in Rust, C, or C++, plus Python for tooling and evaluation

Ability to work on-site in Delft, collaborate effectively in cross-functional teams, and communicate technical information clearly.

Strong problem-solving skills, attention to detail, and commitment to safe and reliable system design.