Working Student - AI-Assisted Optimization of Analog Integrated Circuits (f/m/div)

#WeAreIn to create tiny chips and big careers. The future won’t wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in? Your role Key responsibilities in your new role Literature Study: Review and compare recent AI- and LLM-based approaches for analog circuit sizing, optimization, and design-space exploration AI Method Development: Develop LLM-assisted methods for circuit topology understanding, result interpretation, device sizing, and design knowledge extraction Circuit Benchmarking: Validate own methods on analog circuit blocks and benchmark accuracy, robustness, and design effort against conventional and other LLM-based optimization methods Documentation and Presentation: Document your methods, implementation, benchmark results, and limitations, and present your ideas

Qualifications and skills to help you succeed Study Field: Studying your master in Electrical or Computer Engineering Interests: Basic knowledge and interest in AI-based engineering workflows, especially large language models and agent-based methods for designing automation Work experience: Basic experience with analog circuit design, simulation, as well as interpretation of circuit performance results Knowledge: Understanding of analog circuit trade-offs, device sizing principles, and design-space exploration. Basic knowledge of numerical optimization methods for circuit optimization Skills: Familiarity with Cadence design tools and Python Availability: You are interested in a long-term commitment, starting with a working student position and ideally continuing with a master’s thesis Language skills: Good English communication skills for documentation and presentation Please attach the following documents to your application: CV in English Certificate of enrollment at university Latest grades transcript (not older than 6 months) High school report Important information: Working part-time: The focus is on studies. That’s why working as a student employee during lecture period is limited to a maximum of 20 hours per week Regular students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree program. You must not be in a semester of leave. We look forward to welcoming you to our team for at least 6 months You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team Further links: Find out what we are looking for in your CV Find out how the student application process works with us Discover our student website #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? 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. Britta Johansson