Internship - AI, Digitalization & Software Development in Product Marketing (f/m/div)
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MarketingProduct Marketing
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Quick Summary
Requirements Summary
Identify Product Marketing processes that can be simplified,
Technical Tools
MarketingProduct Marketing
#WeAreIn to create tiny chips and big careers. Are you ready to take the first step in your career? Let's shape the future together! 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 Initiatives: Support Artificial Intelligence (AI) and digitalization initiatives within Product Marketing and help foster an AI-oriented and digital mindset across the team Solutions: Develop and prototype AI-based applications, agents, automations and software solutions, translating Product Marketing requirements and ideas into practical technical solutions Process Improvement: Identify Product Marketing processes that can be simplified, automated or improved through AI and evaluate new AI technologies for their potential applications in Product Marketing Development Practices: Apply agentic coding approaches and AI-supported development tools such as GitHub Copilot and work with modern software development practices, including continuous integration and continuous delivery (CI/CD) pipelines Integration: Support the integration of different data sources, tools and systems Delivery: Support the development, testing and deployment of solutions 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 Your profile Qualifications and skills to help you succeed Education: Currently studying Computer Science, Artificial Intelligence and Robotics, Systems Engineering, Software Engineering or a comparable technical field Technical Skills: Good understanding of software development and good knowledge of multiple programming languages Interests: Strong interest in combining technology with business and Product Marketing applications, as well as in Artificial Intelligence, Generative AI and agentic AI Practical Experience: Ideally, first experience with AI-supported coding tools such as GitHub Copilot; a basic understanding of software deployment and CI/CD pipelines is an advantage Working Style: Hands-on, curious, and AI-oriented approach; able to understand business problems and translate them into technical solutions; independent and structured working style Availability: Ideally interested in staying with the team alongside their studies until graduation Language Skills: Good English skills Additional information 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/2026/06/minimum-salaries-white-collar-workers-2026-05-01.pdf ). #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. Nico Steinhauser
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About this job
- Posted
- Today
Listing Details
- Posted
- November 3, 2026
- First seen
- November 3, 2026
- Last seen
- November 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- November 3, 2026
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