Internship Python-Based Verification of SystemC Models

Job Description

• 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.

Qualifications

• 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

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Bhavay Arora (Functional Department)
+49 173 3049165
Rainer Dorsch (Functional Department)
+49 172 3596577

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