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 support cutting-edge artificial intelligence solutions in computer vision for autonomous vehicles. This Senior-level, Full-time position is based Onsite in Créteil, Val-de-Marne, Ile-de-France. The role focuses on managing GPU compute clusters, cloud infrastructure, and high-performance computing resources for machine learning workloads. Salary details are available in the employer description.
Job details
This is a Full-time, Onsite position located in Créteil, Val-de-Marne. You will administer NVIDIA GPU clusters, manage storage and networking for AI/ML activities, and ensure high availability and performance of local compute resources. The role requires expertise in cloud platforms, HPC systems, and infrastructure automation to support advanced computer vision projects for autonomous driving technology.
Responsibilities
- Administer and maintain internal NVIDIA GPU compute clusters for AI workloads
- Manage storage systems and networks supporting machine learning activities
- Ensure availability and performance of local compute resources
- Deploy and optimize cloud infrastructure for computer vision projects
- Automate infrastructure provisioning and monitoring for HPC environments
- Collaborate with AI teams to scale autonomous vehicle development platforms
Requirements
- 4+ years experience in cloud infrastructure and HPC system administration
- Strong expertise with NVIDIA GPU clusters and CUDA environments
- Proficiency in Linux system administration and networking protocols
- Experience with infrastructure-as-code tools and container orchestration
- Knowledge of storage solutions for large-scale ML datasets
- Familiarity with AI/ML workflows and compute requirements
Benefits
- Work on cutting-edge autonomous vehicle technology
- Collaborate with advanced AI and computer vision teams
- Access to state-of-the-art GPU infrastructure
- Professional development in AI infrastructure