GenAI Solutions Architect for GCP & Hyperscale

NVIDIA Corporation; Reading; Hybrid; GBP 90,000 - 135,000; Full time

Job summary

NVIDIA Corporation in Reading seeks a Solutions Architect with deep GenAI, data science, and ML expertise to engage with Google Cloud and our hyperscaler partners. You will be the primary technical liaison between NVIDIA, partners, and end-customers, delivering PoCs and scalable NVIDIA-based solutions for AI workloads.

You will work across Engineering, Product and Sales to understand developer challenges, optimize GPU-accelerated training and inference, and help drive enterprise adoption of

Qualifications

• 5+ years in Solutions Architect/Engineering or similar AI-related roles.
• Excellent verbal and written communication in English and ability to present technical solutions.
• Expertise deploying large-scale training and inference on hyperscalers, with emphasis on GCP.
• MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
• Experience in machine learning, deep learning, and data science applications.

Responsibilities

• Develop and demonstrate solutions based on Hyperscalers and NVIDIA GenAI software/hardware for developers.
• Collaborate with customers and hyperscalers to understand challenges and deliver NVIDIA-based solutions.
• Perform in-depth analysis and optimization of GPU-accelerated training and inference pipelines.
• Partner with Engineering, Product and Sales to plan best-fit solutions.
• Drive development and growth of product features through customer feedback and PoC evaluations.
• Build industry expertise and contribute to integrating NVIDIA technology into Enterprise Computing architectures.

Skills

Generative AI

Data science

Machine learning

Communication

English proficiency

Education

MS/PhD in CS/DS/Engineering

Tools

Docker

Kubernetes

Singularity

Job description

NVIDIA Corporation in Reading seeks a Solutions Architect with deep GenAI, data science, and ML expertise to engage with Google Cloud and our hyperscaler partners. You will be the primary technical liaison between NVIDIA, partners, and end-customers, delivering PoCs and scalable NVIDIA-based solutions for AI workloads.

You will work across Engineering, Product and Sales to understand developer challenges, optimize GPU-accelerated training and inference, and help drive enterprise adoption of