GenAI Solutions Architect for CSP/GCP

NVIDIA Corporation; Reading; Hybride; GBP 90 000 - 120 000; Plein temps

Résumé du poste

NVIDIA Corporation seeks a Solutions Architect to drive Generative AI initiatives in collaboration with Google Cloud and other hyperscalers. You will design GPU-accelerated solutions, demonstrate PoCs, and align engineering, product, and sales teams to customer needs.

The role requires strong AI/ML background, excellent communication, and a track record of working across complex multinational teams in a fast-paced environment.

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 in deploying large-scale training and inferencing on Hyperscaler infrastructure, focusing on GCP.
• MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields.
• Proven track record in machine learning, deep learning and/or data science.
• Ability to work across Engineering, Product, Sales and Marketing teams.
• Self-starter with growth mindset and ability to share findings.

Responsabilités

• Develop and demonstrate solutions based on Hyperscalers and NVIDIA GenAI materials for developers.
• Engage customers and Hyperscalers to understand challenges and design best NVIDIA-based solutions.
• Analyze and optimize GPU-accelerated training and inference pipelines.
• Partner with Engineering, Product and Sales to plan suitable solutions.
• Enable growth of product features through customer feedback and PoCs.
• Build enterprise computing architectures by integrating NVIDIA technology.

Connaissances

Solutions Architect experience

English communication

AI/ML fundamentals

GCP/Hyperscaler expertise

Formation

MS/PhD in CS/Data Science/Engineering

Outils

Docker

Kubernetes

Singularity

Description du poste

NVIDIA Corporation seeks a Solutions Architect to drive Generative AI initiatives in collaboration with Google Cloud and other hyperscalers. You will design GPU-accelerated solutions, demonstrate PoCs, and align engineering, product, and sales teams to customer needs.

The role requires strong AI/ML background, excellent communication, and a track record of working across complex multinational teams in a fast-paced environment.