Embedded Vision Engineer

Description

The company builds vision-based inspection and processing systems for the poultry industry, and this role sits in the Poultry Innovation department.

The work turns complex image data into real-time decisions on the production line, and the team is multidisciplinary and international.

This is a full-time, hybrid role.

Responsibilities

• Design, build and maintain embedded vision systems on Linux-based ARM platforms.
• Shape scalable, reliable vision architectures for next-generation poultry processing equipment, and help standardize these platforms across several product lines.
• Integrate industrial cameras, sensors and lighting for high-speed image acquisition and analysis.
• Tune system performance so it meets real-time processing and throughput targets in industrial settings.
• Write software in C++ and Python for image processing, machine control and data handling.
• Package vision applications in Docker for scalable, reproducible deployment.
• Build and maintain CI/CD pipelines that keep software delivery fast and dependable.
• Deploy and run AI inference workloads on Triton Inference Server so embedded hardware can make decisions in real time.
• Create lightweight configuration and monitoring interfaces where they are needed.
• Work with project managers, vision application engineers, system architects, electrical engineers and software engineers in multidisciplinary teams.
• Work with mechanical, electrical and product teams to integrate vision systems into complete machines.
• Diagnose complex system faults spanning hardware, software, networking and camera interfaces.
• Define validation and verification strategies and run the system tests.
• Make sure solutions meet quality, reliability, safety and performance requirements.
• Lead technical design reviews and help make key architecture decisions.
• Mentor junior engineers and support their technical growth.
• Keep internal and external stakeholders informed throughout the product lifecycle.
• Help shape the long-term vision technology roadmap for Poultry Innovation.
• Track emerging work in embedded computing, AI and machine vision, and assess what is worth adopting.

Requirements

• A bachelor's or master's degree in computer science, embedded systems, electrical engineering, robotics, mechatronics or a closely related technical field.
• 5+ years of experience in embedded software development, machine vision or industrial automation.
• Strong experience with embedded Linux and ARM-based platforms.
• Proficiency in C++ and Python.
• Experience integrating industrial cameras, image acquisition systems and vision hardware.
• Hands-on experience with Docker and containerized applications.
• Familiarity with CI/CD practices and modern development methods.
• Experience deploying or supporting AI inference frameworks. Triton Inference Server is preferred.
• Strong analytical skills and the ability to troubleshoot complex multidisciplinary systems.
• A proven record of technical leadership while staying hands-on when needed.
• Excellent written and spoken English, and the ability to communicate across engineering disciplines.
• Broad knowledge of vision technology, software, electronics, automation and machine integration.
• A structured approach to documentation, validation, reporting and knowledge sharing.
• Dutch language skills are preferred.
• A proactive, entrepreneurial and results-driven attitude.
• A collaborative team player who enjoys working in an international innovation environment.

Conditions

Full-time employment in the Poultry Innovation department.

Hybrid work model.

The company is an equal opportunity employer that welcomes applications from all qualified people.

Benefits

• The company invests in your professional and personal development, and offers chances to grow.
• You will join an inclusive, international team where collaboration and innovation matter.