Internship - Data and Workflows for AI Usage in Unit Process Development (f/m/div)
Dresden, SN, DE
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingFind gaps in current databases and build a cloud database for missing recipe and measurement data
Develop a scalable OutSystems web app to document experiments
Develop and test automated workflows and digital solutions for process development
Create internal tools in C# or Python to collect, cleanse and analyze measurement data
Document methods, implementation, benchmark results and limitations, and present ideas
From the employer’s posting
identify data gaps and develop a cloud database for missing recipe/measurement data
Develop a scalable OutSystems web application to document experiments
Develop and test automated workflows and digital solutions in the context of Unit Process Development
Create and enhance internal tools, applications, and digital solutions using technologies such as C# or Python to collect, cleanse, and analyze measurement data
Document your methods, implementation, benchmark results, and limitations, and present your ideas
Tools in this posting
- C#
- Python
Source — Tool mentions in context
Lifelong learning: Acquire knowledge on plasma etching processing, AI-data readiness and development workflows Data is everything: Access and analyze current databases, identify data gaps and develop a cloud database for missing recipe/measurement data Shape the future: Develop a scalable OutSystems web application to document experiments, extending the capabilities of the existing documentation Take responsibility: Develop and test automated workflows and digital solutions in the context of Unit Process Development Focus on the future: Create and enhance internal tools, applications, and digital solutions using technologies such as C# or Python to collect, cleanse, and analyze measurement data Convince with words: Document your methods, implementation, benchmark results, and limitations, and present your ideas Study field: You are a top-performing student currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, or Artificial Intelligence You have proven (2+ years) experience in programming, with practical knowledge of machine learning frameworks and data analysis tools Familiarity with software development, scripting, and database technologies Experience working with data pipelines, and data integration concepts is advantageous Interests: You have a strong ambition for computer systems, programming and machine learning You are experienced in programming and data analysis, with a strong foundation in statistics and mathematics You are capable of critically assessing your own results Experience in machine learning is a bonus Personality: Proactive, self-driven and science interested. You have very good communication skills, capable of explaining complex concepts to non-expert and can organize your work in a very structured way Language skills: You have fluent English skills, both written and spoken, German would be a plus We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity. Our hiring decisions are based on skills and experience. Even if you don't meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon. Lara Praust
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 2026 · 7 days ago
- Recorded sightings
- 43
- Last seen by us
- Oct 31, 2026
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Dresden, SN, DE
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