Generative AI Solutions Architect - GCP & Hyperscaler GTM

NVIDIA Corporation

Courbevoie

Sur place

EUR 90 000 - 130 000

Plein temps

14 jours+
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Résumé du poste

NVIDIA’s Worldwide Field Operations (WWFO) team seeks a Solutions Architect with expertise in Generative AI, Data Science applications and ML to collaborate with our Hyperscaler partners, notably Google Cloud. You will be the technical bridge between NVIDIA, partners and customers, crafting proofs-of-concept and enabling accelerated computing solutions.

In this role you will engage with developers, researchers and IT leaders, shaping architectures, optimising training and inference pipelines,

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 pipelines on hyperscaler infrastructure, focus on GCP.

Responsabilités

  • Develop and demonstrate solutions based on Hyperscalers and NVIDIA GenAI software/hardware to developers.
  • Work with customers and Hyperscalers to understand challenges and propose NVIDIA-based solutions.
  • Perform in-depth analysis and optimize GPU-accelerated systems for training and inference pipelines.
  • Collaborate with Engineering, Product and Sales to address developer needs and plan solutions.
  • Enable growth of product features through customer feedback and proofs-of-concept.
  • Build industry expertise and integrate NVIDIA technology into Enterprise Computing architectures.

Connaissances

Solutions Architecture
Generative AI
Data Science
GCP
English communication

Formation

MS/PhD in CS/DS/Engineering

Outils

Docker
Kubernetes
Singularity

Description du poste

NVIDIA’s Worldwide Field Operations (WWFO) team seeks a Solutions Architect with expertise in Generative AI, Data Science applications and ML to collaborate with our Hyperscaler partners, notably Google Cloud. You will be the technical bridge between NVIDIA, partners and customers, crafting proofs-of-concept and enabling accelerated computing solutions.

In this role you will engage with developers, researchers and IT leaders, shaping architectures, optimising training and inference pipelines,

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