Research Engineer in optimization and Design Space Exploration for Next-Generation Computing Sy[...]

CEA; Saclay; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Une institution de recherche leader en innovation cherche un ingénieur de recherche pour rejoindre son équipe à Saclay. Le poste implique de relever des défis complexes en optimisation pour des systèmes informatiques de nouvelle génération. Les candidats doivent avoir un solide bagage en optimisation, AI, ou ingénierie informatique, avec un intérêt pour les défis interdisciplinaires. Des compétences en programmation et en optimisation combinatoire sont essentielles.

Qualifications

• Bonne maîtrise de l'optimisation combinatoire.
• Compétences solides en programmation Python et/ou C++.
• Expérience avec des méthodes d'optimisation moderne.

Responsabilités

• Contribuer au développement de méthodologies d'optimisation.
• Travailler sur des modèles de simulation coûteux et des techniques d'évaluation.
• Générer des configurations architecturales optimisées et diversifiées.

Connaissances

Recherche opérationnelle et optimisation combinatoire

Programmation de haut niveau (Python, C++)

Modélisation par surrogat

Algorithmes génétiques et optimisation multi-objectifs

Formation

Master, diplôme d'ingénieur ou PhD en informatique et électronique

Description du poste

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

Category

Electronics components and equipments

Contract

Job title

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

Executive

12

IN 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 contactis based at Nano-Innov (CEA Paris-Saclay), Essonne (91). This position is available as soon as possible.

Context

Modern 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 Objectives

You willcontribute 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:

• 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 & Applications

The 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

Profile

• 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.

Site

Saclay

Job location

Location

Saclay

Languages

• French (Fluent)

Recommended training

Master degree, engineering degree or PhD in informatics and electronics or equivalent

Requester

01/09/2025

General information

Organisation

The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :

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 France

Reference

2025-36535

Reference

2025-36535

CEA'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.

Within 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.