Software Engineer

Are you interested in working with the latest and continuously changing smart manufacturing software and hardware? And do you wish to combine this with your excellent ability to network? Then this might be the job for you!


SAM|XL is looking to expand its young and dynamic team with a software engineer who has an interest in developing software components for state-of-the-art robotic systems. The mix of software in centre ranges from industry standard, closed-source, industrial solutions to large scale open-source frameworks such as ROS, OROCOS and related libraries. As a software engineer you will have the freedom to shape the software ecosystem within SAM|XL.



As a software engineer within SAM|XL you will be the main responsible for all software components in the centre. You will identifiy current and future software needs of our partners and come up with solutions to these needs using the software available or developed within SAM|XL or at any of our partners. Over time you will be able to form your own vision on robotics related software.

In this role it is important that you can be a discussion partner for both industry and academia, and are able to build networks and collaborations in the field of state-of-the-art robotics software. Both commercial and open source.



– BS, MS, or PhD in Computer Science, ECE, Robotics, or a related field

– Demonstrable experience in C++ and Python

– Experience with Linux (Ubuntu)

– Experience deploying solutions on real hardware (robots)

– Excellent communication skills, both oral and written, Dutch and English

– Collaborate well in a team environment

– Flexibility and the ability to quickly adapt to changes in a project

– Excellent coding and testing habits

– Ability to work in an innovative and continuously changing environment


Nice to have:

– Experience with ROS and/or ROS-Industrial

– Experience in software for mechatronic systems, electrical systems

– Experience in implementing and optimizing hardware/software interfaces

– Background in AI

– Demonstrated ability to turn academic theory to practical code


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