Artificial Intelligence Engineer
Il y a 17 heures
GifsurYvette, Ile-de-France
Groupe Calcul
Temps plein
Gratuit avec email ou Google
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Gratuit avec email ou Google
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
GROUPE CALCUL
• Le groupe Présentation Le Réseau métier Le RT
• Paysage du calcul
• Actions RT
• Actions réseau
• Nos cafés
• Offres d'emploi
• Suivez-nous Offres d'emploi Artificial Intelligence Engineer Proposée par Mathieu Lobet, le 29 septembre 2026 CDD Maison de la Simulation, CEA Saclay, Gif-sur-Yvette, France CEA 2 ans Email Web Suivez la liste Artificial Intelligence Engineer
• About the position
•
Location:
Maison de la Simulation, CEA Saclay, Gif-sur-Yvette, France
• Contract: Two-year fixed-term contract
• Contact: mathieu.lobet@cea.fr
• Position overview The French Alternative Energies and Atomic Energy Commission (CEA) is seeking a motivated and skilled engineer to work on the European AI Factory project. This position offers the opportunity to contribute to cutting-edge research at the intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI). AI Factory France (aifactory-france.eu) is a large-scale national and European platform supported by a broad coalition of leading partners (GENCI, Inria, CNRS, CEA, France Universités, CINES, Amiad, Mission French Tech, Station F and HubFranceIA). The platform brings together resources from the French ecosystem, drawing on:
• The supercomputing infrastructures operated by GENCI (Jean Zay at IDRIS, Adastra at CINES and Joliot-Curie at TGCC).
• The future Alice Recoque supercomputer, France's exascale system.
• Main responsibilities
• User support and training
• Provide technical expertise and support to users deploying large-scale AI workflows on HPC systems.
• Develop training materials and lead workshops to bridge the knowledge gap in the AI community around the use of HPC.
• Development and optimization
• Contribute to adapting and fine-tuning AI foundation models to meet the needs of European research and industry.
• Develop and run benchmarking methodologies to evaluate AI model performance across different HPC architectures.
• Analyze and document performance metrics to identify bottlenecks and recommend optimizations for scalability and efficiency.
• Collaboration and outreach
• Work closely with international partners to align research activities with project objectives.
• Contribute to writing best-practice guides, technical documentation and scientific publications.
• Represent the project at conferences, meetings and community events.
• Required qualifications Education
• PhD or Master's degree in Computer Science, Artificial Intelligence, Computational Science or a related field, with expertise in HPC or AI. Technical skills
• Excellent Python programming skills.
• Proficiency with AI/ML frameworks (TensorFlow, PyTorch) and their optimization for HPC platforms.
• Knowledge of HPC systems and architectures, especially GPU-based.
• Experience with parallel computing. Other Skills
• Experience with data preparation, large-scale model fine-tuning and deployment on HPC systems.
• Excellent problem-solving, teamwork and communication skills.
• Why join us?
• Contribute to an innovative European project focused on the next generation of scalable AI.
• Work in a multidisciplinary environment with access to state-of-the-art computing resources.
• Gain exposure to strategic international collaborations.
• Salary and benefits Benefits Include CEA offers compensation commensurate with your qualifications and experience.
• 🌍 International collaboration: Work with European, American and Japanese laboratories, with opportunities to travel for conferences and workshops.
• 🏠 Flexibility: Up to 3 days of remote work per week.
• 🚆 Transport: Reimbursement of up to 75% of public transport passes and access to CEA’s dedicated shuttle bus network
• 🏥 Wellbeing: Attractive complementary health insurance and employee savings plans.
• 📅 Leave: 5 weeks of paid leave and 4 weeks of RTT (reduced working time) per year.
•
How to apply
Interested candidates are invited to send their CV and cover letter to: 📧 mathieu.lobet@cea.fr
• Suivez-nous
• Contactez-nous
• Mentions légales Développé avec Pelican / Creative commons Graphisme par pierredigonnet.com
• Le groupe Présentation Le Réseau métier Le RT
• Paysage du calcul
• Actions RT
• Actions réseau
• Nos cafés
• Offres d'emploi
• Suivez-nous Offres d'emploi Artificial Intelligence Engineer Proposée par Mathieu Lobet, le 29 septembre 2026 CDD Maison de la Simulation, CEA Saclay, Gif-sur-Yvette, France CEA 2 ans Email Web Suivez la liste Artificial Intelligence Engineer
• About the position
•
Location:
Maison de la Simulation, CEA Saclay, Gif-sur-Yvette, France
• Contract: Two-year fixed-term contract
• Contact: mathieu.lobet@cea.fr
• Position overview The French Alternative Energies and Atomic Energy Commission (CEA) is seeking a motivated and skilled engineer to work on the European AI Factory project. This position offers the opportunity to contribute to cutting-edge research at the intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI). AI Factory France (aifactory-france.eu) is a large-scale national and European platform supported by a broad coalition of leading partners (GENCI, Inria, CNRS, CEA, France Universités, CINES, Amiad, Mission French Tech, Station F and HubFranceIA). The platform brings together resources from the French ecosystem, drawing on:
• The supercomputing infrastructures operated by GENCI (Jean Zay at IDRIS, Adastra at CINES and Joliot-Curie at TGCC).
• The future Alice Recoque supercomputer, France's exascale system.
• Main responsibilities
• User support and training
• Provide technical expertise and support to users deploying large-scale AI workflows on HPC systems.
• Develop training materials and lead workshops to bridge the knowledge gap in the AI community around the use of HPC.
• Development and optimization
• Contribute to adapting and fine-tuning AI foundation models to meet the needs of European research and industry.
• Develop and run benchmarking methodologies to evaluate AI model performance across different HPC architectures.
• Analyze and document performance metrics to identify bottlenecks and recommend optimizations for scalability and efficiency.
• Collaboration and outreach
• Work closely with international partners to align research activities with project objectives.
• Contribute to writing best-practice guides, technical documentation and scientific publications.
• Represent the project at conferences, meetings and community events.
• Required qualifications Education
• PhD or Master's degree in Computer Science, Artificial Intelligence, Computational Science or a related field, with expertise in HPC or AI. Technical skills
• Excellent Python programming skills.
• Proficiency with AI/ML frameworks (TensorFlow, PyTorch) and their optimization for HPC platforms.
• Knowledge of HPC systems and architectures, especially GPU-based.
• Experience with parallel computing. Other Skills
• Experience with data preparation, large-scale model fine-tuning and deployment on HPC systems.
• Excellent problem-solving, teamwork and communication skills.
• Why join us?
• Contribute to an innovative European project focused on the next generation of scalable AI.
• Work in a multidisciplinary environment with access to state-of-the-art computing resources.
• Gain exposure to strategic international collaborations.
• Salary and benefits Benefits Include CEA offers compensation commensurate with your qualifications and experience.
• 🌍 International collaboration: Work with European, American and Japanese laboratories, with opportunities to travel for conferences and workshops.
• 🏠 Flexibility: Up to 3 days of remote work per week.
• 🚆 Transport: Reimbursement of up to 75% of public transport passes and access to CEA’s dedicated shuttle bus network
• 🏥 Wellbeing: Attractive complementary health insurance and employee savings plans.
• 📅 Leave: 5 weeks of paid leave and 4 weeks of RTT (reduced working time) per year.
•
How to apply
Interested candidates are invited to send their CV and cover letter to: 📧 mathieu.lobet@cea.fr
• Suivez-nous
• Contactez-nous
• Mentions légales Développé avec Pelican / Creative commons Graphisme par pierredigonnet.com