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

il y a 2 jours


Palaiseau, Île-de-France CEA Temps plein
Job Title: Research Engineer in AI-assisted Methods for Model Generation and Simulation of SoC Designs

We are seeking a highly skilled Research Engineer to join our team at the French Alternative Energies and Atomic Energy Commission (CEA) to develop cutting-edge technology in the field of Electronic Design Automation (EDA).

About the Role

The successful candidate will be responsible for developing innovative AI-assisted methods for model generation and simulation of System-on-Chip (SoC) designs. This will involve staying up-to-date with advances and best practices in AI, SoC design, and related fields, and contributing to CEA's intellectual property through patents and publications.

Key Responsibilities
  • Develop and implement AI-assisted methods for model generation and simulation of SoC designs
  • Stay ahead of advances and best practices in AI, SoC design, and related fields
  • Contribute to CEA's intellectual property through patents and publications
  • Collaborate with cross-functional teams to develop and implement innovative design tools and methods
Requirements

To be successful in this role, you will need:

  • A 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
  • Solid understanding of SoC architectures and EDA tools
  • Fluency in French
About CEA

The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development, and innovation in four main areas: information and communication, energy, health, and defense. Our technological research department (DRT) has a portfolio of technologies in these fields, and we are committed to developing cutting-edge approaches for innovative design tools and methods.

Within the CEA List, the Design Environment and Architecture Laboratory (LECA) is responsible for designing innovative and flexible computing architectures that meet the challenges of performance, cost, energy consumption, safety, and security, particularly for critical embedded systems and accelerators for embedded AI.



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