Master's Thesis - Leveraging LLMs for Efficient Process Development | Master's Thesis - Leveraging LLMs for Efficient Process Deve

Infineon Technologies AG

Neubiberg, Bayern, Deutschland
Published Dec 1, 2025
Full-time
Fixed-term

Job Summary

This Master's Thesis position offers a unique opportunity to research and implement the use of Large Language Models (LLMs) to enhance the efficiency of product lifecycle processes within a major international semiconductor company. The successful candidate will be integrated into a global team of over 58,000 employees, focusing on practical applications of cutting-edge AI technology to drive efficiency, safety, and sustainability. This role is ideal for a highly motivated student seeking to apply advanced computational linguistics and process optimization skills in a real-world, high-impact industrial setting, contributing directly to making products' lifecycles faster and smarter. The work is project-based, full-time, and offers a defined contract duration.

Required Skills

Education

Enrollment in a relevant Master's program (e.g., Computer Science, Engineering, Data Science)

Experience

  • Academic experience in research and thesis development
  • Experience applying LLMs to practical business or engineering processes

Languages

Not specified

Additional

  • Temporary contract duration