What You'll Do • Research and prototype AI-driven solutions for EDA challenges. • Apply advanced AI techniques, including creating agentic AI flows, to develop autonomous and intelligent solutions for complex silicon design challenges. • Collaborate with global teams to integrate AI/ML models into production workflows.Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.Minimum Qualifications: • Currently pursuing a Master's degree OR PhD in Electrical Engineering, Computer Engineering, Computer Science or any related field. • Solid understanding of AI/ML fundamentals and algorithms. • Strong programming skills in Python (preferred), with familiarity in Unix/Linux. • Good understanding of software engineering principles (data structures, object-oriented design). • Excellent communication skills and fluency in English.Preferred Qualifications: • Knowledge of ASIC design flows, Physical Design, and Design Automation. • Practical experience applying Machine Learning in EDA or related domains. • Familiarity with Agentic AI concepts and ability to design autonomous flows. • Strong foundation in VLSI Design. • Good code development practices and ability to write clean, maintainable code.Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and orStudent / InternShift 1 (Germany)Germany, Munich