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JBT Marel

Embedded Vision Engineer - Poultry Innovation

Embedded EngineeringUpdated on Nov 12
Full-timeBoxmeer, NetherlandsNo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Embedded Systems, Electrical Engineering, Robotics, Mechatronics, or a related technical field is required.
  • At least 5 years of experience in embedded software development, machine vision, or industrial automation environments is required.
  • Strong experience with Embedded Linux and ARM-based platforms is required.
  • Proficiency in C++ and Python software development is required.
  • Experience integrating industrial cameras, image acquisition systems, and vision hardware is required.
  • Hands-on experience with Docker and containerized application development is required.
  • Familiarity with CI/CD practices and modern software development methodologies is required.
  • Experience deploying or supporting AI inference frameworks is required.
  • Strong analytical and problem-solving skills are required to troubleshoot complex multidisciplinary systems.
  • The candidate must be able to provide technical leadership while remaining hands-on when needed.
  • The candidate must have broad technical knowledge spanning vision technology, software, electronics, automation, and machine integration.
  • The candidate must be able to document, validate, report, and share knowledge in a well-structured manner.
  • Excellent written and verbal English skills are required.

Responsibilities

  • Architect, develop, and maintain embedded vision systems running on Linux-based ARM platforms.
  • Design scalable and reliable vision system architectures supporting next-generation poultry processing equipment.
  • Integrate industrial cameras, sensors, and illumination systems for high-speed image acquisition and analysis.
  • Optimize system performance to meet real-time processing and throughput requirements in industrial environments.
  • Support standardization and future-proofing of vision platforms across multiple product lines.
  • 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 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.

Desired Qualifications

  • Dutch language skills are preferred.
  • Experience deploying or supporting Triton Inference Server is preferred.

About the Company

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Brisbane QLD, Australia
Founded
1999

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