Les missions du poste

We are looking for a Research Engineer in AI-Driven Modeling & Simulation for RISC-V Platforms to join our team working on Advanced & AI-Driven Methods and Tools for Modeling, Simulation, and Design.
You will contribute to national and European projects focused on next-generation processors and computing platforms based on RISC-V, helping to strengthen Europe's technological sovereignty.
Your work will focus on the AI-based automatic extraction and generation of extra-functional properties (e.g. performance, power, area), with a strong emphasis on performance modeling. The goal is to significantly boost productivity in the early stages of system design, enabling more efficient and accurate evaluation and optimization of RISC-V architectures.

You will be responsible for:
Designing and implementing innovative AI/ML techniques for the automatic generation of abstract HW models.
Extending QEMU-based frameworks with the generated AI-based models for performance assessment of RISC-V computing platforms.
Benchmarking and optimizing the proposed solutions to achieve fast, high-accuracy simulation.
Collaborating with industrial and academic partners within national and European project consortia.
Contributing to the scientific roadmap of the lab, identifying key research directions and opportunities.
Publishing your work in top-tier international conferences and journals, and representing the team at international events, technical workshops, and project meetings.

#CEA-List ; #LI-CB1 ; #Ingénieure ; #Chercheuse ; #Research Engineer

Required qualifications
PhD or Master's degree in Computer Science, Electronics, Embedded Systems, Computer Engineering, or a related field.
Experience or a demonstrated strong interest in applying AI/ML to hardware modeling, system design, or design-space exploration.
Strong programming skills in in C/C++ and Python.
Desired qualifications
Solid understanding of computer architecture and digital hardware systems, including processors, Network-on-Chip (NoC), and System-on-Chip (SoC) designs.
Hands-on experience with fast simulation tools, such as QEMU, Spike, SystemC/TLM, or similar environments.
Familiarity with hardware description languages (HDLs) such as VHDL and Verilog.

In accordance with the commitments made by the CEA to promote the integration of disabled people, this job is open to all. The CEA proposes arrangements and/or organizational possibilities for the inclusion of disabled workers.