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Le centre Inria à Rennes recherche un Ingénieur en Conception Numérique pour participer au projet CAMELIA, axé sur des accéléreurs IA. Le poste implique la conception et la vérification des prototypes matériels pour des processeurs.
Votre rôle inclura la conception physique, le code RTL et la collaboration internationale. Des outils des grands acteurs de l'EDA et une formation continue sont offerts.
The Inria Center at the University of Rennes is one of Inria’s eight research centers and is home to more than thirty research teams. The center is a major and internationally recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem, bringing together highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education institutions, laboratories of excellence, and a technological research institute.
The TARAN team at Inria and the University of Rennes is looking for passionate and motivated Digital Design Engineers seeking to make an impact in the fields of computer architecture and AI hardware accelerators. The right candidate will not be afraid to attack complex problems and assume broad ownership, ranging from chip or block architecture, programming models, through RTL implementation, design verification, physical design, and DFT.
Are you an experienced or young engineer interested in ASIC design and looking for an exciting opportunity to advance your career? Join our team, where we design and verify hardware prototypes of processors and AI accelerators to support our research. We are seeking a creative and skilled colleague to help develop chips (ASICs) or FPGA prototypes. Are you looking for broader exposure across multiple IP designs? Do you want the opportunity to work globally within a recognized research team to deliver innovative systems? Join us to help shape the future of our research!
The host team has access to tools from major EDA companies (Synopsys, Siemens EDA, Cadence) and to advanced ASIC technology PDKs (22nm, 16nm, 7nm).
Collaboration with researchers and engineers across the architecture, verification, performance analysis, power analysis, implementation, and various IP functions is essential to achieve success in our projects.
The position is funded by a large project, CAMELIA, involving several academic partners from France. The CAMELIA (Hardware and Software Components for Advanced AI Accelerators) program focuses on developing scalable, modular AI acceleration components and their associated software environment. It aims to create specialized accelerators based on chiplets and 2.5D/3D integration that target key functions for executing AI models, using a joint hardware/software/application co-design approach. Anticipating breakthroughs in both hardware and software, the program aims to achieve significant performance gains—particularly in energy efficiency—compared to current industry solutions based on GPUs or NPUs.
More specifically, it targets the design of chiplets dedicated to accelerating key functions (tensor computation, sparse computation, dynamic low-precision management), their integration into modular systems-on-chip, and the optimization of the associated software stack for compilation, orchestration, and application development. As the project maturing, it will also incorporate constraints related to cost, safety, security, and environmental responsibility.
Inside CAMELIA, the position is focused on the design and verification (RTL, Physical) of the AI accelerator, similar in spirit to Google's TPU, but with specific features proposed by some of the academic partners.
The position is for a one-year term, but it may be extended for up to 6 years, which is the duration of the CAMELIA project.
Monthly gross salary from 2695 euros according to diploma and experience