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Solutions Architect, Hyperscalers, Reading
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Client:
NVIDIA
Location:
Reading, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
03f96d5ff29d
Job Views:
6
Posted:
24.04.2025
Expiry Date:
08.06.2025
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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 the Solutions Architect 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 challenges and plan for the most 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 with presenting technical solutions in English
* Expertise in deploying large-scale training and inference pipelines on Hyperscaler’s infrastructure
* A 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, using a range of inference techniques (e.g., understanding of model compression techniques, model compilation, or model serving)
* Background working with larger transformer-based architectures
* Experience using 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
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