System Performance Modeling Engineer

In your role, you will: Participate in architecture exploration campaigns working closely with key architects from various teams. Analyze complex dataset to identify insights and patterns that will help define the requirements for next-generation SoCs Support on exploratory methodology projects, involving machine learning, data science, etc. Expand, maintain and document innovative modeling frameworks. Participate in defining a new hardware modeling semantic, breaking up with conventional hardware programing languages. Robust understanding of computer architecture and memory hierarchy Strong knowledge of Object Oriented Programming (C++, Python) Interest for programming paradigms Knowledge in bus components micro-architecture Understanding of performance/power/area tradeoff. Ability to quickly react and adapt to changes. Excellent communication skills. Degree in Microelectronics, Computer Science, or related field. Preferably 2-5 years of solid experience in SoC modeling and/or software development, new graduated will be considered upon strong internships & motivation. Understanding of interconnect protocols like AHB/AXI/ACE/ACE-Lite/NoC concepts. Experience in Data Science, Machine Learning Master's or PhD degree in Microelectronics, Computer Science, or related field. Strong Mathematical background Knowledge in network traffic engineering Knowledge of Memory Controller, LPDDR & DDR protocols Experience with performance verification and driving microarchitecture investigations on blocks like memory controller, CPU, GPU, NoC and multi-media is a plus Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience. OR Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field.