CEA

About the Company

The CEA is the French Alternative Energies and Atomic Energy Commission ("Commissariat à l'énergie atomique et aux énergies alternatives"). It is a public body established in October 1945 by General de Gaulle. A leader in research, development and innovation, the CEA mission statement has two main objectives: To become the leading technological research organization in Europe and to ensure that the nuclear deterrent remains effective in the future.

The CEA is active in four main areas: low-carbon energies, defense and security, information technologies and health technologies. In each of these fields, the CEA maintains a cross-disciplinary culture of engineers and researchers, building on the synergies between fundamental and technological research.

The civilian programs of the CEA received 49% of their funding from the French government, and 30% from external sources (partner companies and the European Union).
The CEA had a budget of 4,3 billion euros.

The CEA is based in ten research centers in France, each specializing in specific fields. The laboratories are located in the Paris region, the Rhône-Alpes, the Rhône valley, the Provence-Alpes-Côte d'Azur region, Aquitaine, Central France and Burgundy. The CEA benefits from the strong regional identities of these laboratories and the partnerships forged with other research centers, local authorities and universities.

Listed Jobs

Company Name

CEA

Job Title

Large language models for automatic bug finding in source code analysis H/F

Job Description

**Job Title** Large Language Models for Automatic Bug Finding in Source Code Analysis (Internship) **Role Summary** Internship focused on researching and evaluating the use of large language models (LLMs) for automated bug detection in source code. The candidate will review existing LLM techniques, benchmark them against traditional static analysis tools, and propose a methodology to assist security evaluators in identifying vulnerabilities. **Expectations** - Deliver a literature review of LLM solutions for bug finding. - Conduct empirical evaluations on open vulnerability benchmarks. - Define the scope where LLMs outperform or complement formal methods and tools such as Frama‑C and Lazart. - Produce a methodology and recommendations for integrating LLMs into source code analysis workflows. **Key Responsibilities** - Review academic and industrial literature on LLM‑based vulnerability detection. - Test LLMs on benchmark datasets (e.g., WooKey, Inter‑CESTI). - Compare LLM results with results from formal methods and static analyzers. - Identify contexts (e.g., language, code complexity) where LLMs are most effective. - Draft a proposal for an integrated LLM-based analysis pipeline. - Communicate findings through reports and presentations to the research team. **Required Skills** - Programming proficiency in Python, C, or assembly. - Familiarity with static code analysis tools (Frama‑C, Lazart). - Basic understanding of artificial intelligence / machine learning concepts. - Knowledge of embedded system security, vulnerability exploitation, and formal methods advantageous. - Strong analytical, research, and documentation skills. - Intermediate English language proficiency (reading, writing, speaking). **Required Education & Certifications** - Current enrollment or recent completion of a Master’s degree (BAC+5) in Computer Science, Cybersecurity, Engineering, or a related field. - No specific certifications required; knowledge in cybersecurity or AI concepts is preferred.

Grenoble, France

On site

29-10-2025

Company Name

CEA

Job Title

Image Editing of Complex Visual Scene via Natural Language H/F

Job Description

Job Title: Natural Language‑Guided Image Editing of Complex Scenes (Internship) Role Summary: Develop and prototype deep‑learning methods that transform complex visual scenes—such as crowds, cityscapes, and multi‑object interactions—based on natural language instructions. Focus on maintaining scene coherence, accurate object relations, and seamless multimodal integration between NLP and vision models. Expectations: * Produce innovative architectures that improve accuracy and detail in language‑driven image generation/editing. * Validate approaches through quantitative metrics and visual fidelity assessments. * Contribute to research outputs (papers, patents) and present findings at academic forums. Key Responsibilities: 1. Review and benchmark state‑of‑the‑art NL‑guided image generation/editing models. 2. Design, implement, and train multimodal neural networks (e.g., VLMs, LLMs, generative models) to interpret complex textual descriptions. 3. Engineer data pipelines for large‑scale scene datasets, handling geometric positioning and numerality. 4. Optimize model performance, ensuring spatial coherence across multiple objects and relations. 5. Document experimental setups, results, and reproducibility procedures. 6. Collaborate with research peers, share insights, and contribute to manuscript preparation. Required Skills: * Strong background in computer vision, deep learning, and generative AI. * Proficiency in Python and familiarity with PyTorch or TensorFlow. * Experience with multimodal learning (LLMs, VLMs) and scene graph reasoning. * Ability to manipulate and preprocess large image datasets. * Analytical mindset for evaluating model outputs and debugging complex systems. * Excellent written and verbal communication in English. Required Education & Certifications: * Current enrollment in a Master’s (M2) engineering or related program; or equivalent. * Candidate must be in the final year of studies; PhD candidates also eligible. * Relevant coursework in machine learning, computer vision, and natural language processing.

Saclay, France

On site

29-10-2025

Company Name

CEA

Job Title

Responsable de la Sécurité des Systèmes d'Information (RSSI) H/F

Job Description

**Job title** Chief Information Security Officer (CISO) – System Security (H/F) **Role Summary** Lead and maintain the security of IT systems across all stages from project design to operation. Serve as the primary liaison between the security office and the operational teams, ensuring continuous compliance with national and institutional security policies. **Expectations** Maintain a secure operational environment over the long term and support operational managers in applying the Information Security policy of the organization. **Key Responsibilities** - Implement the Information Security policy, ensuring adherence to regulatory requirements and integrating security into tools and projects. - Manage classified information: compliance with regulatory handling, storage, and secure destruction of classified assets. - Oversee system homologation: initiate, monitor, renew, and update licensing and usage conditions. - Educate and advise staff on security challenges and best practices. - Report and assist in handling IT security incidents. - Maintain a comprehensive IT system map and track security indicators. - Control access rights: verify consistency, perform periodic account reviews. - Conduct first‑level audits and controls; monitor corrective actions and remediation plans. **Required Skills** - Minimum 3 years of experience in a similar security leadership role. - Strong knowledge of information security regulations and operational requirements. - Excellent communication and interpersonal skills; ability to coordinate with technical, business, and executive stakeholders. - Analytical mindset, rigorous approach, and crisis responsiveness. - Intermediate proficiency in English. **Required Education & Certifications** - Master’s degree or engineering school (Bac+5) in Computer Science or Cybersecurity. - Professional certifications relevant to information security (e.g., CISSP, CISM, ISO 27001 Lead Implementer) are preferred.

Bagnols-sur-cèze, France

On site

Junior

29-10-2025

Company Name

CEA

Job Title

Optimization of a Keccak Hardware Accelerator Protected against Side-Channel Attacks H/F

Job Description

**Job Title** Optimization of a Keccak Hardware Accelerator Protected against Side-Channel Attacks H/F **Role Summary** Master‑level internship focused on enhancing a first‑order masked Keccak (SHA‑3) accelerator. The candidate will reduce hardware area and randomness consumption while preserving first‑order side‑channel resistance, using FPGA/ASIC synthesis and TVLA security validation. **Expectations** * 6‑month contract * Research‑oriented project aimed at producing a more compact, resource‑efficient masked Keccak design for post‑quantum cryptographic systems. **Key Responsibilities** * Analyze area and randomness overhead introduced by current masking and randomness‑generation mechanisms. * Design alternative micro‑architectural solutions for non‑linear Keccak steps and randomness dispatcher. * Model optimized designs in HDL (VHDL or Verilog/SystemVerilog) and synthesize on FPGA or ASIC targets. * Evaluate area, performance, and power trade‑offs. * Perform security assessment using Test Vector Leakage Assessment (TVLA). * Document design choices, synthesis flows, and validation results. **Required Skills** * Graduate‑level experience in FPGA and ASIC design. * Proficiency in RTL modelling (VHDL, Verilog, or SystemVerilog). * Familiarity with industrial synthesis tools (Synopsys Design Compiler, Xilinx Vivado). * Understanding of side‑channel attack mitigation and masking countermeasures. * Knowledge of cryptographic hardware, particularly SHA‑3/Keccak. * Strong analytical, problem‑solving, and technical documentation skills. **Required Education & Certifications** * Master’s degree in Electrical Engineering, Computer Engineering, VLSI Design, or a related field. * Coursework or experience in secure hardware design and cryptographic implementations.

Grenoble, France

On site

30-10-2025