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

Company:  CEA
Location: Palaiseau
Closing Date: 05/08/2024
Salary: £60 - £80 Per Annum
Type: Temporary
Job Requirements / Description
Research Engineer in AI-assisted Methods for Model Generation and Simulation of SoC Designs H/F CategoryElectronics components and equipmentsContractJob titleResearch Engineer in AI-assisted Methods for Model Generation and Simulation of SoC Designs H/FExecutive24We are looking for a highly skilled and motivated Research Engineer to join our team to develop cutting-edge technology in the field of Electronic Design Automation (EDA).In the context of a national project, you will be responsible for developing a simulation environment for chiplet-based SoC architecture, using AI-driven methodologies to improve existing EDA flow. You will work in close cooperation with our interdisciplinary team of engineers and researchers on innovative research projects at European and national level as well as in industrial partnerships.Responsibilities:- Develop and implement an AI-based model generation methodologies for computing platform simulation. The generated models will cover functional behavior for software validation as well as performance prediction of the hardware platform.- Integration of the generated models into a simulation environment (virtual prototype) targeting chiplet-based architectures- Evaluate the performance and effectiveness of the proposed solution.- Stay ahead of advances and best practices in AI, SoC design, and related fields and contribute to CEA's intellectual property through patents and publications.Required qualifications:- 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, such as 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.SiteSaclayJob locationLocationLanguagesFrench (Fluent)Requester03/06/2024General informationOrganisationThe French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas : OrganisationThe French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :• defence and security,• nuclear energy (fission and fusion),• technological research for industry,• fundamental research in the physical sciences and life sciences.Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.The CEA is established in ten centers spread throughout France Reference2024-32124 Reference2024-32124 The CEA's technological research department (DRT) has a portfolio of technologies in the fields of information and communication, energy and health. As an interface between research and industry, our mission is to develop and transfer technologies, from theoretical proof of concept to industrial demonstrators, for the benefit of industry.CEA List, a research laboratory specializing in intelligent digital systems, is located in the heart of the Paris-Saclay science and technology cluster.Within the CEA List, the mission of the Design Environment and Architecture Laboratory (LECA) is to design 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. To reduce the development time and improve the quality of these architectures, the laboratory develops cutting-edge approaches for innovative design tools and methods. #J-18808-Ljbffr
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