Internship: Application of generative AI Technology for SystemVerilog code generation (f/m/div)
Job Family
Advanced Analytics & Artificial Intelligence
Type of employment
Part time
Duration of employment
Temporary
Workplace type
Hybrid
Preferred start date
2025-11-01
Join As
Student/Intern/Trainee
Is this position eligible for Hire4IFX?
No
You are a committed student from the field of Computer Science, Electrical Engineering or similar and are looking for a new exciting student job? Infineon Power & Sensor Systems (PSS) delivers future-oriented solutions to provide cutting-edge data transport and to make tools and systems smarter, smaller, lighter and more energy-efficient. Sounds good? Don’t miss the chance and apply now! Our team in Villach is looking forward to receiving your application!
The goal of this internship is to
develop a
generative AI model that can efficiently generate SystemVerilog code for IC product development, thereby streamlining our design and verification processes. You will work closely with our team of experts to
design,
implement, and
evaluate the
performance of the
AI model, and integrate it into our existing development workflows. Through this project, you will develop a
deep understanding of the
complexities of
IC product development, from design and verification to manufacturing and testing. This hands-on experience will not only enhance your skills in AI and machine learning but also provide you with a comprehensive understanding of the IC product development lifecycle.
- Holistic overview: You explore the potential of generative AI technology for SystemVerilog code generation in IC product development processes.
- Shape the future: You develop and train a generative AI model to generate SystemVerilog code for IC product development.
- Collaborative spirit: You work closely with our cross-functional teams to integrate the AI model into our existing development workflows.
- Innovative spirit: You document the work and results, and contribute to the development of innovative AI-driven solutions in the semiconductor industry.
Further Information
Type of employment: Temporary / Part-time (flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)
Duration: min. 12 months You successfully meet the requirements, if you are a motivated and committed student from the field of
Computer Science,
Electrical Engineering or similar. You are best equipped for this task if you additionally offer:
- A solid understanding of programming concepts and familiarity with Python programming language
- A basic understanding of IC digital design and verification and experience with SystemVerilog and UVM as a plus
- Previous experience with AI, machine learning, AI agent frameworks (e.g. Langchain, Autogen) and/or version control systems like GIT is a significant advantage
- A self-motivated and curious working style with good communication skills and the ability to work independently
- Fluent English skills, both written and spoken
This position is subject to the collective agreement for workers and employees in the electrical and electronics industry (full-time), employment group B for bachelor students, employment group D for master students (https://www.feei.at/wp-content/uploads/2024/04/minimum-salaries-white-collar-workers-2025.pdf).
Please attach the following documents (German or English) to your application: - Motivation letter
- CV
- Certificate of matriculation at a university
- Latest Transcript of records (not older than 6 months)
- Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students)
- Reference letter (optional)
Contact: Miklau Ina
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Are you in?
– Power & Sensor Systems (PSS) drives leading-edge power management, sensing and data transfer capabilities –
Infineon PSS semiconductors play a vital role in enabling intelligent power management, smart sensitivity as well as fast and reliable data processing in an increasingly digitalized world. Our leading-edge power devices make chargers, adapters, power tools and lighting systems smarter, smaller, lighter and more energy-efficient. Our trusted sensors increase the context sensitivity of “things” and systems such as HMI, and our RF chips power fast and reliable data communication.
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