The D&A Software Development Engineer is responsible for designing, developing, and operating digital, automation, and AI-driven solutions within ASML Operational Excellence. This role focuses on improving diagnostic efficiency, system availability, and service performance by owning the end-to-end lifecycle of data, analytics, and AI solutions, from concept to production.
Role and responsibilitiesEnd-to-End D&A Solution Development
- Design and implement full-stack D&A solutions to improve productivity and efficiency for internal stakeholders (office and fab).
- Own solution lifecycle including requirement definition, development, deployment, operation, and continuous improvement.
- Identify opportunities to replace or reduce manual processes through automation and software solutions.
AI, Analytics & Model Ownership
- Design, develop, deploy, and maintain machine learning and deep learning models for predictive maintenance, fault detection & classification, and root-cause analysis.
- Perform data exploration, feature engineering, model validation, monitoring, and retraining.
- Continuously improve model performance based on field feedback, diagnostic outcomes, and new data.
Data Engineering & Platform Development
- Develop and maintain scalable, cloud-native data pipelines for structured and unstructured machine data.
- Work with Azure-based platforms such as Databricks, Spark, SQL/Kusto to ensure reliable and secure data access.
- Ensure data quality, traceability, and reproducibility for analytics and AI applications.
Diagnostics Domain Enablement & Collaboration
- Translate diagnostics domain needs into data, analytics, and model requirements.
- Collaborate closely with CS Diagnostics, Field, D&E, and global teams.
- Provide training, guidance, and knowledge sharing related to software and analytics solutions.
Standards, Governance & Stakeholder Impact
- Define and follow standards, policies, and best practices for data, models, and analytics solutions.
- Translate technical results into measurable service impact.
- Communicate results and recommendations to senior stakeholders and leadership.
Master’s or Bachelor’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field
8+ years of relevant experience in data science, data engineering, or advanced analytics roles
Fluent in English and Korean
Required Qualifications
Strong proficiency in Python and experience with analytical and ML libraries
Proven experience developing and deploying machine learning / deep learning models in production environments
Strong experience with cloud‑based data platforms (Azure preferred), including: Databricks, Spark, SQL / Kusto
Solid understanding of statistics, data analysis, SPC/FDC concepts, and analytical problem solving
Experience working with large‑scale, high‑frequency data streams
Preferred Qualifications
Experience with diagnostics, manufacturing, equipment data, or industrial systems
Familiarity with machine data, diagnostics tooling or CS workflows
Experience improving observability, fault detection, or predictive maintenance in complex systems
Experience defining data and model standards across teams or platforms
Ability to work effectively with cross‑functional and global teams
Experience explaining complex analytical results to non‑technical stakeholders
Working location : ASML Hwasung Campus
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.
Inclusion and diversityASML 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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ASML Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ASML and has not been reviewed or approved by ASML.
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Healthcare Strength — Health coverage is broad and employer‑funded to a significant degree, with multiple plan options plus mental health and wellness resources. Complementary offerings like onsite/virtual care, HSA contributions, and a gym subsidy strengthen the overall medical package.
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Parental & Family Support — Family‑forming benefits include paid parental leave, adoption assistance, IVF coverage, and practical supports like lactation rooms and milk‑shipment for travel. These provisions indicate substantial caregiving support across life stages.
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Leave & Time Off Breadth — Paid time off can reach a high ceiling when combining vacation and company holidays, with accruals increasing by tenure. Flexible workplace policies and a vacation sell‑back option add usability to the time‑off program.
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What We Do
ASML is a high-tech company, headquartered in the Netherlands. We manufacture the complex lithography machines that chipmakers use to produce integrated circuits, or computer chips. Over 30 years, we have grown from a small startup into a multinational company with over 60 locations across Europe, Asia and the US. Behind ASML’s innovations are engineers who think ahead. The people who work at our company include some of the most creative minds in physics, electrical engineering, mathematics, chemistry, mechatronics, optics, mechanical engineering, computer science and software engineering. Because ASML spends more than €2 billion per year on R&D, our teams have the freedom, support and resources to experiment, test and push the boundaries of technology. They work in close-knit, multidisciplinary teams, listening to and learning from each other.
