• During your internship, your primary mission will be to develop and apply Python-based verification environments for SystemC models using modern verification frameworks such as cocotb and PyUVM.
• You will execute directed and constrained-random verification scenarios and evaluate functional coverage across different DUT classes.
• Furthermore, you will investigate the performance and scalability of verification environments and analyze the impact of different design characteristics on simulation behavior.
• In addition, you will identify performance bottlenecks and evaluate optimization approaches to improve verification efficiency.
• Finally, you will document and present your findings and contribute to the development of reusable verification methodologies for industrial hardware development.

• Education: Master studies in the field of Electrical Engineering, Computer Engineering, Computer Science, Embedded Systems, Microsystems Engineering or comparable
• Experience and Knowledge: programming experience in Python; basic C++ knowledge; basic understanding of digital design and simulation concepts; familiarity with Linux-based development environments and version control systems (e.g., Git); knowledge of SystemC, Verilog/VHDL, cocotb, PyUVM or UVM is beneficial
• Personality and Working Practice: you are a hands-on, independent, proactive and organized team player who enjoys taking ownership of challenging tasks and collaborating in an interdisciplinary environment; you have strong analytical and problem-solving skills, a structured, result-oriented working style with the ability to understand complex technical systems and to communicate technical findings effectively
• Work Routine: hybrid model possible after onboarding, regular presence on-site is required to support collaboration, technical discussions and debugging activities
• Enthusiasm: for hardware verification, simulation technologies and software development as well as eagerness to learn and contribute to innovative verification solutions
• Languages: very good in English

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