Find jobs that fit your situation.

• Develop and optimize software components in C++ and Python for image processing, machine control, and data handling.
• Build containerized vision applications using Docker for scalable deployment and reproducible environments.
• Implement and maintain CI/CD pipelines to support rapid and reliable software delivery.
• Deploy and manage AI inference workloads using Triton Inference Server to enable real-time decision-making on embedded hardware.
• Develop lightweight configuration and monitoring interfaces where needed.

• Work in multidisciplinary project teams alongside project managers, vision application engineers, system architects, electrical engineers, and software engineers.
• Collaborate with mechanical, electrical, and product teams to ensure seamless integration of vision systems into complete machine solutions.
• Troubleshoot complex system-level issues involving hardware, software, networking, and camera interfaces.
• Define validation and verification strategies and execute system testing activities.
• Ensure solutions meet quality, reliability, safety, and performance requirements.

• Lead technical design reviews and contribute to key architectural decisions.
• Mentor junior engineers and support technical skill development within the team.
• Communicate effectively with internal and external stakeholders throughout the product lifecycle.
• Contribute to the long-term vision technology roadmap for Poultry Innovation.
• Identify and evaluate emerging technologies in embedded computing, AI, and machine vision to maintain technology leadership.

You will recognize yourself in the following:

• Bachelor's or Master's degree in Computer Science, Embedded Systems, Electrical Engineering, Robotics, Mechatronics, or a related technical field.
• 5+ years of experience in embedded software development, machine vision, or industrial automation environments.
• Strong experience with Embedded Linux and ARM-based platforms.
• Proficiency in C++ and Python software development.
• Experience integrating industrial cameras, image acquisition systems, and vision hardware.
• Hands-on experience with Docker and containerized application development.
• Familiarity with CI/CD practices and modern software development methodologies.
• Experience deploying or supporting AI inference frameworks, preferably Triton Inference Server.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex multidisciplinary systems.
• Proven ability to provide technical leadership while remaining hands-on when needed.
• Excellent communication skills and the ability to collaborate across multiple engineering disciplines.
• Broad technical knowledge spanning vision technology, software, electronics, automation, and machine integration.
• Well-structured approach to documentation, validation, reporting, and knowledge sharing.
• Excellent English skills, both written and verbal. Dutch language skills are preferred.
• Proactive, entrepreneurial, and results-oriented mindset.
• A collaborative team player who enjoys working in an international innovation environment.

We’re excited to learn how you can contribute to our mission of smarter, safer food inspection. Apply now and join a team transforming the future of food processing. 

📧 Questions? Contact: Maarten Krepel – maarten.krepel@jbtmarel.com 

🌐 Learn more at:  jbtmarel.com

🔗 Follow us on LinkedIn

Connect with Talent Acquisition Specialist: www.linkedin.com/in/maartenkrepel

Marel is an equal opportunity employer and values diversity in the workplace. We encourage all qualified individuals to apply.

Join us — and help shape the future of intelligent poultry processing through cutting-edge embedded vision technology.

Use of Technology in Our Hiring Process

JBT Marel uses technology-assisted tools, including artificial intelligence (AI), to support the review of applications.
These tools help our recruiting teams identify skills and experience relevant to the role based on job-related criteria.
All applications are reviewed by people, and AI is not used to make hiring decisions independently. We are committed to fair, consistent and inclusive hiring practices globally.

#LI-MK1
​#LI-Hybrid