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Cloud EngineeringOnsite

AI Cloud & HPC Infrastructure Engineer

R&D DSIS CoE - Company

Val-de-Marne, Ile-de-France, ๐Ÿ‡ซ๐Ÿ‡ท FranceFull-time - Mid level (2-4 years)0 applicantsCloses Jun 21, 2026

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Job description

Job details

  • Location: Val-de-Marne, Ile-de-France
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

Valeo is seeking an AI Cloud & HPC Infrastructure Engineer to join the R&D DSIS CoE team in Val-de-Marne, รŽle-de-France. This full-time, onsite position focuses on designing and managing cloud infrastructure and high-performance computing systems that support AI and machine learning initiatives. The role is ideal for engineers passionate about automotive innovation and sustainable mobility solutions.

Job details

This position is based in Val-de-Marne, รŽle-de-France, and is an onsite role. Salary details are available in the employer description. Valeo, a global tech leader in automotive innovation, partners with automakers worldwide to create greener, safer mobility through intuitive driving solutions and reduced CO2 emissions.

Responsibilities

  • Design and deploy cloud infrastructure for AI and HPC workloads
  • Manage high-performance computing clusters supporting R&D initiatives
  • Optimize infrastructure performance and cost efficiency
  • Implement automation and infrastructure-as-code practices
  • Collaborate with AI/ML teams to support model training pipelines
  • Monitor and maintain system reliability and scalability

Requirements

  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of HPC systems and distributed computing
  • Proficiency in infrastructure automation tools (Terraform, Ansible)
  • Understanding of containerization and orchestration (Docker, Kubernetes)
  • Familiarity with AI/ML infrastructure requirements
  • Strong problem-solving and communication skills

Benefits

  • Work on cutting-edge automotive AI projects
  • Join a global innovation leader
  • Contribute to sustainable mobility solutions
  • Professional development opportunities

Keywords

Cloud InfrastructureHPCAIMachine LearningDevOpsKubernetesAWSAzureInfrastructure as CodeAutomation