Solutions Architect, Hyperscalers

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Solutions Architect, Hyperscalers, remote, UK

Client: NVIDIA

Location: remote, UK, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Reference:

02ab568c0b7b

Job Views:

9

Posted:

24.04.2025

Expiry Date:

08.06.2025

Job Description:

NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL), and Data Science applications to collaborate with our Hyperscalers partners. In our Solutions Architecture team, we work with cutting-edge platforms for accelerated computing and drive breakthroughs in artificial intelligence. We aim to enable customer and partner productivity, develop lasting relationships with technology partners, and make NVIDIA integral to end-user solutions. We seek individuals passionate about artificial intelligence who can maintain alignment in a fast-paced, evolving field.

You will work with the latest HPC architectures and advanced neural network models, transforming how people interact with technology. As a Solutions Architect, you will serve as the primary technical liaison between NVIDIA, Hyperscaler partners, and end-customers. Responsibilities include proof-of-concept demonstrations, building relationships with key technical stakeholders, and evangelizing accelerated computing and Generative AI. Engaging with developers, researchers, data scientists, IT managers, and senior leaders will be a vital part of your role, offering diverse challenges and solutions.

What You’ll Be Doing:

• Develop and demonstrate solutions leveraging Hyperscalers and NVIDIA’s GenAI software/hardware technologies to developers.
• Work directly with customers and Hyperscalers to understand their challenges and provide optimal solutions based on NVIDIA products.
• Perform analysis and optimization for peak performance on GPU-accelerated systems using NVIDIA software, including training and inference pipelines.
• Collaborate with Engineering, Product, and Sales teams to understand developer challenges and plan suitable solutions. Contribute to product feature development through customer feedback and proof-of-concept evaluations.
• Build industry expertise and contribute to 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 related fields.
• 3+ years of academic or industry experience in machine learning, deep learning, or data science.
• Ability to work across organizational levels and teams (Engineering, Product, Sales, Marketing).
• Excellent listening and communication skills, comfortable presenting technical solutions in English.
• Expertise in deploying large-scale training and inference pipelines on Hyperscaler infrastructure.
• Self-starter with a passion for growth, continuous learning, and knowledge sharing.

Ways to Stand Out from The Crowd:

• Experience in large-scale distributed deep learning training and optimization.
• Expertise in inference pipeline optimization, including model compression, compilation, or serving techniques.
• Background working with transformer-based architectures.
• Experience with DevOps tools such as Docker, Kubernetes, Singularity.
• Understanding of HPC systems, including data center design, high-speed interconnects like InfiniBand, cluster storage, and scheduling.