Research Engineer in AI-assisted Methods for Model Generation and Simulation of SoC Designs

il y a 4 semaines


Palaiseau, Île-de-France CEA Temps plein

Job Summary

We are seeking a highly skilled Research Engineer to join our team at CEA, focusing on developing cutting-edge technology in Electronic Design Automation (EDA). The successful candidate will be responsible for developing a simulation environment for chiplet-based SoC architecture, leveraging AI-driven methodologies to enhance existing EDA flow.

Key Responsibilities

  • Develop and implement AI-based model generation methodologies for computing platform simulation, covering functional behavior for software validation and performance prediction of the hardware platform.
  • Integrate the generated models into a simulation environment targeting chiplet-based architectures.
  • Evaluate the performance and effectiveness of the proposed solution.
  • Stay up-to-date with advances and best practices in AI, SoC design, and related fields, contributing to CEA's intellectual property through patents and publications.

Requirements

  • Ph.D. or Master's degree in Electrical Engineering, Computer Science, or a related field.
  • Proficiency in programming languages such as C/C++ and Python, and experience with relevant libraries/frameworks.
  • Strong background in AI, machine learning, and deep learning methods, including GNN and LLM.
  • Experience in SoC high-level simulation frameworks utilizing QEMU and SystemC or lower-level RTL description languages (e.g. VHDL, Verilog, SystemVerilog).
  • A strong willingness to learn.

Preferred Qualifications

  • Solid understanding of SoC architectures and EDA tools.
  • Excellent problem-solving skills and ability to work both independently and collaboratively in a fast-paced research environment.
  • Strong communication and interpersonal skills with the ability to present complex ideas clearly and effectively.


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