Computer Vision Software Engineer

• Design and own the core architecture of our 3D robotics vision software, ensuring it is scalable, maintainable, and built for the long term.
• Build heavily reused packages that serve as the engineering foundation across multiple robotics solutions in different lifecycle stages.
• Balance big-picture architecture decisions with hands-on coding and delivery as part of a unified team of 10 engineers.
• Plan actively for lifecycle management and software update processes - deployment is never the finish line.
• Stay at the cutting edge of computer vision, AI, and software engineering, and bring that knowledge back into the team.

• A Master's degree in Computer Science or a related field.
• Strong proficiency in Python; working knowledge of C++.
• Hands-on experience with modern tooling: Docker, Git, and CI/CD pipelines.
• A systems mindset - you design for reliability, scalability, and the realities of industrial deployment.
• Strong analytical and communication skills; you can articulate architecture decisions clearly and collaborate across disciplines.
• You thrive in a fast-paced environment and take ownership of what you build.
• You are fluent in English. Knowledge of Dutch is a plus.
• You are based in Belgium.

Bonus Points

• Experience in data science, AI, computer vision, or industrial automation.
• Familiarity with optical technology - cameras, lighting setups, or 3D sensors.

Joining Robovision means securing a front-row seat in Belgium's most ambitious industrial AI scale-up, where the environment is as dynamic as the technology we develop. We provide a sophisticated entrepreneurial ecosystem designed for high-impact leaders, offering unmatched opportunities for accelerated professional evolution across multiple strategic domains. This is a role for those who thrive on ownership and are ready to turn personal ambition into industrial-scale results by architecting the global scaling of our organization.

Our culture is built on transparency and a partnership-first mindset, moving beyond traditional hierarchies to focus on high-level communication and collective success. We are a team of owners who celebrate shared success and foster an environment of high ambition, technical excellence, and respect. By joining this high-performance ecosystem, you contribute to a governed infrastructure that prioritizes long-term outcome assurance over short-term hype, ensuring your work delivers a permanent impact on the industrial landscape.

Robovision provides the industrial backbone for vision intelligence, delivering a governed infrastructure that transforms how global enterprises scale. By shifting from abstract AI probability to Outcome Assurance, we empower manufacturers to convert human quality expertise into a permanent digital asset. Our architecture is designed to eliminate dependency on manual intervention and specialized data science silos, ensuring Institutional Autonomy across global production lines. Headquartered in Ghent, Belgium, our infrastructure safeguards hundreds of millions in annual revenue for OEMs and Tier-1 manufacturers. We operate with a "partnership-first" mindset, moving beyond traditional hierarchies to deliver institutional autonomy and the lowest total cost of ownership over decades. At Robovision, we don't just build tools, we architect the foundation for industrial reliability. We are currently looking for a Software Engineer to join our team. This is an exciting opportunity to gain valuable work experience and develop skills in a fast-paced and dynamic environment. Your role Our AgTech team is a start-up within a scale-up. For over a decade, we have been building and deploying vision AI software for hundreds of robots operating in agriculture worldwide. We are now pushing that frontier further - developing next-generation 3D robotics solutions that demand a new level of architectural ambition. Your mission is to design and build the software backbone that makes this possible: reusable, industrial-grade modules that underpin everything from 3D geometric problem-solving and vision setup design to data science experimentation and system observability. You will shape the structural blueprint of these systems while staying deeply hands-on in day-to-day delivery.