EuropeVisaJobs

Senior Engineer Product Intelligence (Materials Engineering – Chemistry & Thin Film Design)

Asm · Netherlands

Confidence
Medium confidence
Posted
22 Oct 2026
First seen
25 Oct 2026
Last checked

Evidence

Medium confidence

Asm is on the Dutch IND register. The posting doesn’t mention visas.

Sponsor register

Dutch IND public register of recognised sponsors

Listed as ASM Europe BV. KVK 54004004. Snapshot 26 Oct 2026.

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Job posting

Doesn’t mention visas or relocation.

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Still open

Seen on the job board

First seen 25 Oct 2026. We check every day and remove closed roles.

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arbeitnow.nl

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Being on the register means Asm can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.

About the role

Step into a career with ASM, where cutting edge technology meets collaborative culture. ​ For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.

But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential. Senior Engineer Product Intelligence (Materials Engineering – Chemistry & Thin Film Design) We seek a Senior AI/ML Engineer to develop practical, science-grounded ML solutions for materials science and semiconductor applications.

What you will do • Design and support AI models and workflows for relevant chemical systems for thin film development. • Model & embedded known physics & mechanisms to ensure accurate model output and turnaround time • Use of SoTA GenAI frameworks for materials science and ML tools deliver applications that acceleration R&D workflows • Build data pipelines to extract required data from multi-modal data sources • Collaborate with software & data science engineers to deliver reproducible pipelines, dashboards, APIs and decision-support tools for R&D and engineering teams.

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