Solutions Architect, Hyperscalers

NVIDIA; United Kingdom; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in the UK is seeking a Solutions Architect for a remote position. The ideal candidate will have expertise in machine learning and deep learning, with at least 3 years of relevant experience. Responsibilities include developing solutions based on cutting-edge AI technologies and collaborating with customers to enhance their productivity. This role demands excellent communication skills and the ability to engage with technical teams across various organizations.

Qualifications

• 3+ years of experience in machine learning, deep learning, or data science.
• Excellent communication skills, comfortable presenting technical solutions.
• Experience in deploying training and inference pipelines on cloud infrastructure.

Responsibilities

• Develop solutions based on NVIDIA's GenAI technologies.
• Work with customers to provide optimal solutions using NVIDIA products.
• Perform analysis and optimization for GPU-accelerated systems.

Skills

Machine Learning

Deep Learning

Data Science

Communication Skills

Problem Solving

Continuous Learning

Education

MS/PhD in relevant fields

Tools

Docker

Kubernetes

Singularity

Job description

Social network you want to login/join with:

Solutions Architect, Hyperscalers, remote, uk

Client: NVIDIA

Location: remote, uk, United Kingdom

Job Category: Other

-

EU work permit required: Yes

Job Reference: 02ab568c0b7b

Job Views: 35

Posted: 12.08.2025

Expiry Date: 26.09.2025

Job Description:

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL), and Data Science applications to work with our Hyperscalers partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest breakthroughs in artificial intelligence. We need individuals who can enable customer and partner productivity. Our goal is to develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain alignment in a fast-paced and constantly evolving field.

You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our Hyperscaler partners, and our end-customers. Your duties will vary from working on proof-of-concept demonstrations to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI. Engaging dynamically with developers, scientific researchers, data scientists, IT managers, and senior leaders is a meaningful part of this role and will give you experience with a range of challenges and solutions.

What You’ll Be Doing:

• Develop and demonstrate solutions based on Hyperscalers and NVIDIA’s pioneering GenAI software and hardware technologies to developers
• Work directly with key customers and our Hyperscalers partners to understand their challenges and provide the best solutions based on NVIDIA products
• Perform in-depth analysis and optimization to ensure the best performance on GPU-accelerated systems using NVIDIA software platform. This includes support in optimization of both training and inference pipelines
• Partner with Engineering, Product, and Sales teams to understand developer’s challenges and plan for the best suitable solutions. Enable development and growth of product features through customer feedback and proof-of-concept evaluations
• Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures

What We Need to See:

• MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
• 3+ years of academic and/or industry experience in fields related to machine learning, deep learning, and/or data science
• Excitement to work with multiple levels and teams across organizations (Engineering, Product, Sales, and Marketing)
• Excellent listening, verbal and written communication skills, and comfort presenting technical solutions in English
• Expertise in deploying large-scale training and inference pipelines on Hyperscaler's infrastructure
• Self-starter with interest in growth, passion for continuous learning, and sharing findings across the team

Ways to Stand Out from The Crowd:

• Experience running and optimizing large-scale distributed DL training
• Expertise in optimizing inference pipelines, understanding model compression techniques, model compilation, or model serving
• Background working with larger transformer-based architectures
• Experience with DevOps technologies such as Docker, Kubernetes, Singularity, etc.
• Understanding of HPC systems: data center design, high-speed interconnect InfiniBand, cluster storage, and scheduling-related design and/or management experience