Machine Vision Engineer

The Vydar Group; Delft; On-site; EUR 70,000 - 110,000; Full time

Job summary

The Vydar Group in Delft is seeking a Machine Vision Engineer to design, implement, and optimize vision algorithms for constrained embedded hardware, focusing on NPU accelerators supporting autonomous defense platforms.

You will train detection, tracking and segmentation models, quantize and compile networks, profile latency and power, and collaborate with software, AI, electrical and mechanical engineering teams to deliver real-time, safe, and reliable perception stacks.

Qualifications

• NATO citizenship is required.
• MSc in Electrical Engineering, Computer Engineering, or equivalent.
• Hands-on experience with embedded hardware (MCUs, SoCs, DSPs, or FPGAs).
• Proven NN optimization for target hardware: quantization, pruning, fusion.
• Strong programming in Rust, C/C++, and Python for tooling.
• On-site work in Delft and clear technical communication.
• Strong problem solving and emphasis on safe, reliable design.

Responsibilities

• Design, implement, and optimize machine vision algorithms for embedded hardware.
• Train detection, tracking, and segmentation models for NPU accelerators.
• Quantize and compile networks; profile latency, memory, and power budgets.
• Collaborate with software, AI, electrical, and mechanical engineering teams.
• Contribute to data collection and annotation pipelines, on-vehicle integration, and field testing.
• Document and continuously improve the perception stack for real-time performance and safety.

Skills

NATO citizenship

Rust

C

C++

Python

Embedded hardware

Cross-functional collaboration

Technical communication

Education

MSc in Electrical Engineering / Computer Engineering

Job description

Company DescriptionThe 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.