Senior AI Infrastructure Architect — GPU & HPC

NVIDIA; France; Presencial; EUR 120.000 - 180.000; Jornada completa

Descripción de la vacante

NVIDIA is seeking an AI Factory Solution Architect to design and scale distributed AI infrastructure across data centers, on premises or in the cloud, using NVIDIA GPU technologies.

You will lead deployments with HPC architectures, champion Deep Learning workflows, engage with customers through POCs, and drive integration of NVIDIA software and platforms into complex projects. You will collaborate with diverse teams and stay ahead in a rapidly evolving field.

Formación

• Bachelor or Master in Engineering, Math, Physics, CS or equivalent experience.
• 5+ years in software development or ML engineering.
• Strong problem-solving in customer infrastructure.
• Hands-on with on-premises Kubernetes and platform.
• Experience with containers and MLOps tools.
• Background in modern Deep Learning software architecture including PyTorch, vLLM and TritonServer.
• Able to adapt in a fast-changing environment and deliver.
• Analytical and organized with strong time-management.

Responsabilidades

• Architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud using NVIDIA GPU platforms.
• Lead integration of NVIDIA technology into HPC architectures for scientific and engineering applications.
• Champion Deep Learning and Infrastructure within the NVIDIA technical community.
• Support development activities and engage in POCs/POVs to validate new features and architectures.
• Develop solutions and showcase the AI ecosystem.

Conocimientos

ML engineering

Kubernetes

Containers

MLOps

PyTorch

TritonServer

Problem solving

Time management

Educación

B.Sc or M.Sc in Engineering/Math/Physics/CS

Herramientas

Kubernetes (K8S)

Docker

PyTorch

TritonServer

vLLM

Descripción del empleo

NVIDIA is seeking an AI Factory Solution Architect to design and scale distributed AI infrastructure across data centers, on premises or in the cloud, using NVIDIA GPU technologies.

You will lead deployments with HPC architectures, champion Deep Learning workflows, engage with customers through POCs, and drive integration of NVIDIA software and platforms into complex projects. You will collaborate with diverse teams and stay ahead in a rapidly evolving field.