GenAI Solutions Architect for CSP & GCP

NVIDIA; Marseille; On-site; EUR 90,000 - 120,000; Full time

Job summary

NVIDIA is seeking a Solutions Architect to drive Generative AI initiatives with Google Cloud, collaborating with partners and customers. You will articulate architectures across GPU-accelerated platforms and GenAI software, translating requirements into scalable solutions.

In this role you’ll engage developers, data scientists, IT managers and executives, shaping proof-of-concept demos, optimizing pipelines and enabling enterprise adoption of NVIDIA technologies.

Qualifications

• 5+ years of Solutions Architect/Engineering or similar experience in AI-related fields.
• Excellent ability to listen and present technical solutions in English.
• Expertise deploying large-scale training and inference on Hyperscaler infrastructure (GCP).
• MS/PhD or equivalent in relevant fields.
• Proven track record in ML/DL and data science.
• Ability to collaborate across Engineering, Product, Sales, and Marketing.
• Self-starter with growth mindset and knowledge sharing.

Responsibilities

• Develop and demonstrate solutions based on Hyperscalers and NVIDIA GenAI tech for developers.
• Engage with customers and Hyperscalers to understand challenges and propose best NVIDIA-based solutions.
• Analyze and optimize GPU-accelerated training and inference pipelines for performance.
• Collaborate with Engineering, Product and Sales to plan features and collect feedback.
• Build expertise to integrate NVIDIA tech into Enterprise Computing architectures.

Skills

Solutions Architect experience

English communication

GCP hyperscaler

Distributed DL training

Model inference optimization

DevOps tooling

Education

MS/PhD in CS/DS/engineering/physics

Tools

Docker

Kubernetes

Singularity

Job description

NVIDIA is seeking a Solutions Architect to drive Generative AI initiatives with Google Cloud, collaborating with partners and customers. You will articulate architectures across GPU-accelerated platforms and GenAI software, translating requirements into scalable solutions.

In this role you’ll engage developers, data scientists, IT managers and executives, shaping proof-of-concept demos, optimizing pipelines and enabling enterprise adoption of NVIDIA technologies.