Please submit your application via: https://jobs.infineon.com/careers/job/563808969726311domain=infineon.com&hl=en
As a Staff Engineer (Digitalization & Productivity) within the Industrial Engineering (IE) team, you will be the primary driver for productivity, efficiency and transforming traditional manufacturing data into intelligent, actionable insights. Your mission is to leverage Generative AI and advanced programming to optimize the 4M + Layout planning (Machine, Man, Material, Method, Layout planning) across Infineon's BE global operations. You will own the technical development of AI/ Digitalization solutions that enhance our current performance dashboards, automate complex benchmarking, predict & harvest global efficiency gaps.
Your Role
Key responsibilities in your new role
- Generative AI Application Development:
- Design and deploy GenAI-powered assistants to interpret complex performance data from Tableau and MES systems.
- Develop LLM-based solutions to query internal IE knowledge bases, technical manuals, and historical 4M+ Layout planning optimization reports
- Project Management & Solution Ownership:
- Take end-to-end ownership of Digitalization/Productivity/Benchmarking projects, from initial data ingestion (Oracle/Database Warehouse) to final deployment.
- Manage the lifecycle of predictive algorithms. e.g. workforce optimization and equipment-man ratio forecasting.
- Digitalization & Advanced Reporting:
- Scale and improve existing KNIME workflows and Tableau dashboards.
- Integrate real-time data streams from MES to correlate team performance with dynamic production targets.
- Stakeholder Collaboration:
- Partner with global stakeholders to translate operational pain points into technical AI requirements.
- Customer-Centric Innovation:
- Actively research and pilot emerging AI trends to reduce non-value added activities.
- Design user-centric interfaces to make data-driven decisions without deep technical training.
Your Profile
Qualifications and skills to help you succeed
- Bachelor's or Master's degree in Computer Science, Data Science, Industrial Engineering (with a programming focus), or a related technical field.
- Min. 0-3 years of related working industrial experience in semiconductor / electronics industry.
- Prior experience or strong interest in Semiconductor Manufacturing or high-tech industrial environments.
- Technical Proficiency
- Programming & AI: Strong proficiency in Python (Pandas, NumPy) and experience with Generative AI frameworks (e.g., LangChain, OpenAI API, or AWS Bedrock).
- Data & Visualization: Advanced skills in Tableau, Power BI, and KNIME for complex data blending and visualization.
- Systems: Familiarity with SQL/Oracle databases and MES (Manufacturing Execution Systems).
- Project & Solution Ownership: Project management skills to drive harvesting.
- Proven ability to take a prototype and turn it into a stable, production-ready tool.
- Disciplined approach to documentation and version control to ensure global scalability of code.
- Stakeholder Engagement & Communication: Excellent verbal and written communication skills to explain The Why behind AI-driven recommendations to global teams & ability to facilitate on-the-spot coaching sessions based on dashboard insights.
- Problem-Solving: A proactive mindset that looks for ways to automate manual benchmarking and reporting.
- Agility: Comfortable working in a fast-paced.
#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. about our various contact channels.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
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