Working Student - Foundry Analytics & Software Development

Job Title

Working Student - Foundry Analytics & Software Development

Role Summary

Part-time student role within KLA's Measurement, Analytics and Control (MACH) group in Dresden. The position supports development and validation of foundry-focused software features (OVALiS) and analytics to improve semiconductor manufacturing performance.

The role collaborates with software engineers, product managers, and domain experts to implement data-analytics workflows, apply machine-learning and statistical methods, and evaluate proof-of-concept solutions for future products.

Experience Level

Entry-level student position (part-time). Open to currently enrolled STEM students; no specific professional years of experience required.

Responsibilities

Work on software and analytics tasks that support foundry process analysis and product development.

• Support development and validation of foundry-oriented software features within OVALiS.
• Develop data-analytics concepts such as multi-product analysis, grouping, and process performance evaluation.
• Contribute machine-learning and statistical methods for process optimization and prediction.
• Implement, test, and document software functionality.
• Analyze large datasets and extract actionable insights to improve manufacturing performance.
• Collaborate with software engineers, product managers, and semiconductor domain experts.
• Participate in proof-of-concept development and evaluation of new product ideas.

Requirements

Core technical skills and team-working abilities expected for the role.

• Strong analytical and quantitative thinking skills.
• Interest in software development, data analytics, machine learning, or scientific computing.
• Experience with programming languages such as Python, R, C#, Java, or similar.
• Ability to work independently and collaborate effectively in an international team.
• Fluency in English.

Nice-to-have:

• Experience applying statistical methods or machine-learning models to large datasets.
• Familiarity with semiconductor manufacturing concepts or process control analytics.
• Experience with scientific computing or data-processing pipelines.

Education Requirements

Currently enrolled student in a STEM discipline such as Mathematics, Computer Science, Physics, Data Science, Electrical Engineering, or a related technical field (enrollment in an academic program is required).

About the Company

Company: KLA

Headquarters: Chennai, India

KLA is a global leader in diversified electronics for the semiconductor manufacturing industry. The company enables the production of electronic devices by inventing systems and solutions for manufacturing integrated circuits, wafers, and displays. With over 40 years of experience, KLA invests heavily in innovation and R&D to support advanced chip design and manufacturing process optimization, collaborating with top technology providers to deliver future electronic devices.