Working Student – GenAI in Embedded Automotive Software Development (f/m/div)

This role involves standardizing development documentation for LLM consumption and structuring datasets for AI-driven workflows. You will assist in embedding LLMs into the software development cycle to enhance efficiency and application capability. Responsibilities also include researching emerging LLM technologies, implementing state-of-the-art methods like RAG, agentic AI, and finetuning, and documenting the development process, challenges, and solutions. Candidates should be enrolled in a Master's program in Computer Science or Electrical Engineering with proficiency in Python, Git, Linux, NLP, LLMs, and AI frameworks.

Must Have

• Review and standardize development documentation for LLM consumption
• Structure datasets (schemas, metadata) for AI-driven workflows
• Assist in embedding LLM into various stages of the software development cycle
• Enhance workflow efficiency and application capability throughout the software lifecycle
• Research emerging LLM technologies and applications in software engineering
• Implement and reproduce state-of-the-art methods (RAG, agentic AI, finetuning under supervision)
• Document the development process, challenges and the solutions
• Enrolled in Masters of Computer Science, Electrical Engineering or similar
• Proficiency in Python, Git and Linux
• Basic knowledge of NLP and LLMs
• Hands-on experience with AI techniques and frameworks (PyTorch, TensorFlow or Hugging Face)
• Great adaptability to fast-paced environments
• Strong analytical and problem-solving skills
• Self-motivated and capable to work independently
• Fluency in English, written and spoken

Good to Have

• Focus on Artificial Intelligence or Software Engineering (education)
• Microcontroller knowledge
• AUTOSAR knowledge
• Graph technologies knowledge
• Exposure to LLM techniques

Perks & Benefits

• Career development & learning: About 17,000 free LinkedIn Learning courses in 10 languages, Mentoring & Coaching programs, Global Onboarding process as well as Virtual & f2f trainings
• Time & flexibility: Flexible working hours & part-time work, Mobile work (specifications based on job profile and local requirements), Remote work from abroad / Workation (EU), Sabbatical (EU)
• Health & wellbeing: Health activities & programs, Health & Well-being LinkedIn Learning Journey,Health & Well-being Community
• Your working environment: Employee events, Open & global community e.g. cross-site exchange through the virtuality of all meetings, Open office spaces
• Rewards & benefits: Fair and transparent remuneration, Success participation,Performance-related recognition, customised benefit packages

#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

• Standard Documentation: Review and standardize development documentation for LLM consumption; structure datasets (schemas, metadata) to enable efficient AI-driven workflows
• Workflow Optimization: Assist in embedding LLM into various stages of the software development cycle. Enhance workflow efficiency and application capability throughout the software lifecycle
• LLM Research: Research emerging LLM technologies and applications in software engineering; implement and reproduce state-of-the-art methods, such as RAG, agentic AI, finetuning under supervision
• Process Documentation: Document the development process, challenges and the solutions

Your Profile

Qualifications and skills to help you succeed

• Education: Enrolled in Masters of Computer Science, Electrical Engineering or similar. A focus on Artificial Intelligence or Software Engineering is a plus
• Technical Skills: Proficiency in Python, Git and Linux, paired with basic knowledge of NLP and LLMs. Microcontroller, AUTOSAR and graph technologies knowledge is a plus
• Previous Experience: Hands-on experience with AI techniques and frameworks, such as PyTorch, TensorFlow or Hugging Face. Exposure to LLM techniques is a plus.
• Ideal profile: Great adaptability to fast-paced environments, with strong analytical and problem-solving skills. You are also self-motivated and capable to work independently
• Languages: Fluency in English, written and spoken

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.
• Proper 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 programme. 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.

Contact:

José Azevedo

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.

**This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.