Generative AI Solutions Architect — GCP & CSP

NVIDIA; Courbevoie; Sur place; EUR 100 000 - 140 000; Plein temps

Résumé du poste

NVIDIA's Worldwide Field Operations team in Courbevoie, Île-de-France, seeks a Solutions Architect with expertise in Generative AI, Data Science and ML to collaborate with Google Cloud (GCP) and other hyperscalers. You’ll be the primary technical liaison between NVIDIA, partners and end customers, turning challenges into scalable AI solutions.

You’ll develop proofs-of-concept, optimize GPU-accelerated training and inference pipelines, and engage developers, researchers and IT leaders.

Qualifications

• 5+ years of Solutions Architect/Engineering or similar AI-related experience.
• Excellent verbal and written English communication skills.
• Expertise deploying large-scale training and inference pipelines on Hyperscaler infrastructure, with a focus on GCP.
• MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
• Proven track record in ML, deep learning or data science.
• Comfort working with multiple levels and teams across organizations.

Responsabilités

• Develop and demonstrate solutions based on Hyperscalers and NVIDIA GenAI software/hardware to developers.
• Work directly with customers and Hyperscalers to understand challenges and provide NVIDIA-based solutions.
• Perform in-depth analysis and optimization of GPU-accelerated training and inference pipelines.
• Partner with Engineering, Product and Sales to understand developer challenges and plan for suitable solutions.
• Build industry expertise and contribute to enterprise computing architectures.

Connaissances

AI/ML experience

GCP experience

English communication

Large-scale DL training

DevOps tooling

Formation

MS/PhD in CS/Data Science/Engineering

Outils

Docker

Kubernetes

Singularity

Description du poste

NVIDIA's Worldwide Field Operations team in Courbevoie, Île-de-France, seeks a Solutions Architect with expertise in Generative AI, Data Science and ML to collaborate with Google Cloud (GCP) and other hyperscalers. You’ll be the primary technical liaison between NVIDIA, partners and end customers, turning challenges into scalable AI solutions.

You’ll develop proofs-of-concept, optimize GPU-accelerated training and inference pipelines, and engage developers, researchers and IT leaders.