D&A(Digitalization & Automation) Software Development Engineer(AI)

Introduction to the job

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 responsibilities

• End-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.

Education and experience

• 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

Skills

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 diversity

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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