ASML Customer Support (CS) Diagnostics is at the core of ASML’s ambition to significantly reduce diagnostic labor hours, improve system availability, and enable predictive and self‑healing service capabilities towards 2030.
The Data Engineering Engineerwho will play a key role in building, scaling, and operationalizingAI‑driven diagnostics, observability, and predictive maintenance solutions.
This role goes beyond tooling or automation: you willown the full lifecycle of data and AI solutionsthat directly impact diagnostic accuracy, MTTR, MTBF, and service efficiency. And you will work at the intersection ofmachine data, diagnostics domain knowledge, and advanced analytics, collaborating closely with CS Diagnostics, Field, D&E, and central platform teams
AI, Analytics & Model Ownership
Design, develop, deploy, and maintainmachine learning and deep learning modelsfor Predictive Maintenance (PdM), Fault Detection & Classification, and root‑cause identification and observability improvement.
Own theend‑to‑end model lifecycle, problem definition and data exploration, feature engineering and model development, validation, deployment, monitoring, and retraining.
Continuously improve model performance based onfield feedback, diagnostic outcomes, and new data availability.
Data Engineering & Platform Development
Design and implementscalable, cloud‑native data pipelinesto ingest, transform, and provision large volumes of structured and unstructured machine data.
Work with platforms such asAzure, Databricks, Spark, and Kustoto ensure reliable, performant, and secure data access.
Ensure data quality, traceability, and reproducibility for downstream analytics and AI applications.
Enable early access to data throughproof‑of‑concept pipelines, while ensuring smooth transition to production‑grade solutions
Diagnostics Domain Enablement
Improveobservability through machine databy identifying gaps, defining required signals, and translating diagnostic needs into data and model requirements.
Identifystructural improvements in diagnostic services, including processes, methods, and analytical approaches.
Closely collaborate with diagnostics experts to ensure solutions areactionable, interpretable, and embedded in diagnostic workflows.
Standards, Governance & Stakeholder Collaboration
Define and follow standards, policies, and protocolsfor data, models, and analytics solutions.
Ensure solutions arecompliant, manageable, scalable, and secure, in line with ASML requirements.
Translate technical outcomes intomeasurable service impact(e.g. MTTR reduction, labor hour savings, improved hit rates).
Communicate results, insights, and recommendations tosenior stakeholders and leadership.
Provide guidance and knowledge sharing to colleagues and stakeholders where needed.
Master’s degreein Data Science, Computer Science, Engineering, Applied Mathematics, or a related field.
5+ years of relevant experiencein data science, data engineering, or advanced analytics roles.
Strong proficiency inPythonand experience with analytical and ML libraries. Scripting skill such asPERL, Bash, Power Shell
Proven experience developing and deploying machine learning / deep learning models in production environments.
Strong experience withcloud‑based data platforms(Azure preferred), including Databricks, Spark, SQL / Kusto. Experience with SQL ETL processes.
Solid understanding ofstatistics, data analysis, SPC/FDC concepts, and analytical problem solving.
Experience working withlarge‑scale, high‑frequency data streams
Preferred Qualifications:
Experience with diagnostics, manufacturing, equipment data, or industrial systems.
Familiarity with ASML machine data and CS diagnostics workflows.
Experience improving observability, fault detection, or predictive maintenance in complex systems.
Experience working with business stakeholders and explaining technical results to non-technical audiences.
Experience training others and creating technical documentation or user manuals.
This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
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Who are we?
ASML is an innovation leader in the global semiconductor industry. We make machines that chipmakers use to mass produce microchips. Founded in 1984 in the Netherlands with just a handful of employees, we’ve now grown to over 40,000 employees, 143 nationalities and more than 60 locations around the world.
What do we do?
We provide chipmakers with hardware, software and services to mass produce patterns on silicon through lithography. Our lithography systems use ultraviolet light to create billions of tiny structures on silicon that together make up a microchip. We push our technology to new limits to enable our customers to create smaller, faster and more powerful chips.
Who are our people?
While you may think that only engineers and mathematicians work at ASML, you'll be surprised to find out that our people come from a wide variety of backgrounds. Across ASML, we have dedicated teams that manage customer support, communications and media, IT, software development and more. Every team in the company is essential for pushing our technology and the industry forward.
If you love to tackle challenges and innovate in a collaborative, supportive and inclusive environment with all the flexibility and freedom to unleash your full potential, ASML is the place to be.
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