AI-Driven Model Generation for SoC Design

il y a 3 semaines

Palaiseau, Île-de-France CEA Temps plein

CEA is seeking a highly skilled Research Engineer to contribute to cutting-edge advancements in Electronic Design Automation (EDA).

Within the context of a national project, you will play a pivotal role in developing a simulation environment tailored for chiplet-based System-on-Chip (SoC) architectures. Your expertise will be instrumental in leveraging AI-driven methodologies to enhance existing EDA workflows.

Your Responsibilities:
  • Develop and implement innovative AI-based model generation techniques for computing platform simulation. These models will encompass both functional behavior for software validation and performance prediction of the hardware platform.
  • Integrate the generated models seamlessly into a simulation environment (virtual prototype) specifically designed for chiplet-based architectures.
  • Conduct rigorous evaluations to assess the performance and effectiveness of the proposed AI solutions.
  • Stay abreast of the latest advancements and best practices in AI, SoC design, and related fields. Contribute to CEA's intellectual property through patents and publications.
Your Profile:

Required Qualifications:

  • A Ph.D. or Master's degree in Electrical Engineering, Computer Science, or a closely related field.
  • Proficiency in programming languages such as C/C++ and Python, along with experience utilizing relevant libraries and frameworks.
  • A strong foundation in AI, machine learning, and deep learning methods, including Graph Neural Networks (GNN) and Large Language Models (LLM).
  • Experience working with SoC high-level simulation frameworks that leverage QEMU and SystemC, or lower-level RTL description languages such as VHDL, Verilog, and SystemVerilog.
  • A genuine eagerness to learn and expand your knowledge base.

Preferred Qualifications:

  • A solid understanding of SoC architectures and EDA tools.
  • Exceptional problem-solving skills and the ability to thrive both independently and collaboratively in a fast-paced research environment.
  • Excellent communication and interpersonal skills, enabling you to present complex ideas clearly and effectively.

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