Research Engineer in optimization and Design Space Exploration for Next-Generation Computing Systems H/F

Commissariat à l'Énergie Atomique

  • Essonne
  • Contrat
  • Temps-plein
  • Il y a 2 mois
Organisation The 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 FranceReference 2025-36535Division descriptionCEA's technology research division (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, effectively bridging the gap between research and industry.
CEA List, a research institute specialized in intelligent digital systems, is located in the heart of the Paris-Saclay science and technology cluster.Description de l'unitéWithin the CEA List, the Electronics Design Automation and Architectures Laboratory (LECA) has the mission to design innovative and flexible system-on-chip architectures that meet the challenges of performance, cost, energy consumption, safety and security, targeting critical embedded systems and HW accelerators for embedded AI. To reduce the development time and improve the quality of these architectures, the team of experts develop innovative design tools and methods.Position descriptionCategoryElectronics components and equipmentsContractFixed-term contractJob titleResearch Engineer in optimization and Design Space Exploration for Next-Generation Computing Systems H/FSocio-professional categoryExecutiveContract duration (months)12Job descriptionIN SUMMARY, WHAT DO WE OFFER YOU?
We are looking for an Research Engineer in optimization and Design Space Exploration for Next-Generation Computing Systems. This position in fixed-term contact is based at Nano-Innov (CEA Paris-Saclay), Essonne (91). This position is available as soon as possible.ContextModern computing systems ranging from high-performance computing (HPC) to embedded AI and automotive platforms face increasingly complex and interdependent design challenges. These systems must meet strict constraints on performance, power, area, cost, and reliability, all while adapting to rapidly evolving workloads and technologies.
The design process involves both hardware architecture choices (e.g., cores, memory hierarchy, accelerators, interconnects) and software-level decisions (e.g., task mapping, scheduling, compiler optimizations), which together lead to a combinatorial explosion of possible configurations.Exploring these vast and heterogeneous design spaces is computationally demanding, often requiring costly simulations and automated optimization loops to efficiently navigate trade-offs and identify optimal or near-optimal solutions.To address these challenges, CEA has developed A-DECA (Architecture Design Exploration and Configuration Automation), an in-house Electronic Design Automation (EDA) framework. A-DECA provides a modular, flexible, and multi-objective design space exploration environment for architecture-level decision making. It enables early, automated evaluation of hardware/software configurations for HPC, AI, and automotive systems.Research ObjectivesYou will contribute to the development of next-generation optimization methodologies integrated into the A-DECA framework.The focus is on exploration strategies that go beyond traditional techniques such as linear programming or deterministic solvers.You will work on cutting-edge methods including:
  • Bayesian optimization
  • Surrogate modeling to accelerate evaluation of costly simulations
  • Genetic algorithms and other evolutionary techniques to generate a diverse set of high-performing solutions.
You will design and implement new optimization techniques capable of handling:
  • Extremely large design spaces with many interacting variables
  • Multi-objective trade-offs (performance, power, area, sustainability, etc.)
  • Complex constraints and architectural decisions typical of real-world electronic systems
Your work will enable the automatic generation of optimized and diversified architecture configurations, and provide insightful trade-off analysis across the design space.Validation & ApplicationsThe methods developed will be tested and validated on:
  • Various benchmarks to assess performance, scalability, and robustness
  • Real-world case studies from national and European R&D projects
  • Industrial use cases including architecture exploration for HPC and AI accelerators
  • Cross-domain applications such as automotive
#CEA-List ; #LI-CB1 ; #IngénieureApplicant ProfileProfile
  • We welcome applications from candidates with a strong background in optimization, AI, or computer engineering, and who are excited by interdisciplinary challenges.
  • Skills and interests we are looking for:
  • Operational research and combinatorial optimization (e.g., solvers Gurobi, CPLEX, Hexaly)
  • Bayesian optimization, evolutionary algorithms, or hybrid methods
  • Multi-objective and constrained optimization
  • Surrogate modeling, meta-modeling, or statistical learning
  • Strong programming skills in Python and/or C++
  • Familiarity with EDA tools, digital architecture, or embedded systems is a plus.
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.Position locationSiteSaclayJob locationFrance, Ile-de-France, Essonne (91)LocationSaclayCandidate criteriaLanguages
  • French (Fluent)
  • English (Fluent)
Recommended trainingMaster degree, engineering degree or PhD in informatics and electronics or equivalentRequesterPosition start date01/09/2025

Commissariat à l'Énergie Atomique