Internship Performance Analysis and Optimization of Python-Based Verification for C++ Models

During your internship, your primary mission will be to analyze and improve the performance of Python-based verification environments for C++ models. You will develop and apply profiling, as well as benchmarking approaches in order to characterize the execution behavior of different verification scenarios. Furthermore, you will analyze how different DUT characteristics and verification workloads impact simulation runtime, performance, as well as scalability. In addition, you will identify performance bottlenecks, investigate their root causes and evaluate optimization approaches to improve verification efficiency. Finally, you will document and present your findings, contributing to the development of reusable performance analysis, as well as optimization methodologies for industrial hardware verification. Education: Master studies in the field of Electrical Engineering, Computer Engineering, Computer Science, Embedded Systems, Microsystems Engineering or comparable Experience and Knowledge: of Python and profiling, benchmarking, performance analysis or software optimization basic knowledge of C++ 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 beneficial Personality and Working Practice: you are a hands-on, independent, proactive and organized team player who enjoys taking ownership of challenging tasks, as well as collaborating in an interdisciplinary environment; you have strong analytical and problem-solving skills, a structured, results-oriented working style with the ability to understand complex technical systems, as well as to communicate technical findings effectively Work Routine: a regular on-site presence is required to facilitate collaboration, technical discussions and debugging activities Enthusiasm: for performance analysis, software optimization and simulation technologies