Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure in Reading

Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure in Reading

Reading Full-Time 80000 - 100000 € / year (est.) No home office possible
Nvidia

At a Glance

  • Tasks: Design and implement cutting-edge GPU infrastructure for AI and HPC in datacentres.
  • Company: Join NVIDIA, a leader in innovation and technology for over 25 years.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Other info: Collaborative team culture focused on creativity and autonomy.
  • Why this job: Make a real impact on the future of computing with advanced AI technologies.
  • Qualifications: 12+ years in Solution Engineering and relevant engineering degree or experience.

The predicted salary is between 80000 - 100000 € per year.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a skilled Solutions Architect with a strong emphasis on datacentre power, cooling, and MEP (Mechanical, Electrical, and Plumbing) requirements to support the deployment of advanced AI and HPC GPU infrastructure. Join a team that brings GenAI, AI, and ML hardware and software technologies into real-world production, focusing on the unique challenges of large-scale datacentre environments. In this role you will collaborate closely with customers to assess and address the critical power distribution, cooling strategies, and MEP integration needed for next-generation GPU infrastructure.

As part of the NVIDIA solutions architecture team, you’ll guide strategic customers through the complexities of datacentre design, ensuring robust, efficient, and scalable solutions while providing valuable feedback to business and engineering teams to shape product and infrastructure strategy.

What You’ll Be Doing

  • Work closely with NVIDIA Cloud Partners to design, implement, and operationalise NVIDIA’s cutting‐edge hardware and software solutions, ensuring seamless integration with datacentre power, cooling, and MEP systems.
  • Collaborate with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions, including those involving datacentre infrastructure upgrades and expansion.
  • Serve as the primary technical contact for customers throughout the development, construction, and production of extensive GPU cloud infrastructure, providing guidance on datacentre power distribution, cooling strategies, and MEP integration across the full customer lifecycle.
  • Conduct regular technical customer meetings to discuss project and product details, features, introduction to new technologies, debugging sessions, and address datacentre-related challenges such as optimising power usage and cooling efficiency.
  • Work with customers to build Proofs of Concept (PoCs) for solutions that tackle critical business needs, including the development of robust networking, compute, and MEP infrastructure to meet demanding AI and HPC workloads.
  • Prepare and deliver technical content to customers, including presentations and workshops, with an emphasis on datacentre best practices, power and cooling optimisation, and MEP requirements for large‐scale GPU deployments.
  • Analyse and develop joint solutions to address customer performance and scaling issues, including troubleshooting datacentre power and cooling bottlenecks and improving infrastructure reliability.
  • Advise customers on the latest trends and technologies in datacentre design, including modular construction, efficient power management, advanced cooling techniques, and MEP innovations to support next‐generation AI and HPC hardware.
  • Collaborate with engineering and business teams to provide feedback and recommendations for future NVIDIA products and infrastructure, focusing on datacentre power, cooling, and MEP enhancements.
  • Support customers in compliance with datacentre standards and regulations related to electrical, mechanical, and environmental requirements, ensuring safe and sustainable GPU infrastructure deployments.

What We Need To See

  • BS/MS/PhD in Mechanical/Electrical Engineering, or other Engineering fields or equivalent experience.
  • 12+ years in Solution Engineering (or similar Sales Engineering, Cloud Engineering) working directly with partners and customers.
  • Motivation and skills to own and drive technical engagements with customers throughout full customer life‐cycle.
  • At least one of the following datacentre certifications ATD, CDCAP, CDCDP, CDCEP, CDCMP, CDCSP is requested.
  • Experience crafting and deploying large‐scale cluster environments.
  • Practical expertise in datacentre design, development, and execution for AI and HPC.
  • Efficient time management and capable of balancing multiple tasks.
  • Ability to communicate ideas clearly through documents, presentations, etc.

Ways To Stand Out From The Crowd

  • Practical familiarity with large datacentre design, power distribution, and cooling (liquid to chip).
  • Practical familiarity with NVIDIA hardware (such as GPUs, ETH/IB networking components, storage, etc.) within extensive AI and HPC cluster settings.
  • Background with at scale GPU systems in general, encompassing performance testing, AI benchmarking, and more.

We have some of the most forward‐thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you!

Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure in Reading employer: Nvidia

NVIDIA is an exceptional employer that fosters a diverse and inclusive work environment, encouraging innovation and collaboration among its talented workforce. As a Solutions Architect, you will have the opportunity to work on cutting-edge AI and HPC technologies while benefiting from continuous professional development and a culture that values creativity and autonomy. Located in a vibrant tech hub, NVIDIA offers unique advantages such as access to industry-leading resources and a chance to make a significant impact in the rapidly evolving field of computing.

Nvidia

Contact Detail:

Nvidia Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure in Reading

Tip Number 1

Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio or a GitHub repository showcasing your projects, especially those related to datacentre design and AI. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by practising common questions and scenarios specific to Solutions Architecture. Think about how you’d tackle real-world challenges in datacentres and be ready to share your insights.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the NVIDIA team.

We think you need these skills to ace Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure in Reading

Datacentre Design
Power Distribution
Cooling Strategies
MEP Integration
AI and HPC Infrastructure
Technical Customer Engagement
Proofs of Concept (PoCs)

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with datacentre power, cooling, and MEP systems. We want to see how your skills align with the specific requirements of the Solutions Architect role at NVIDIA.

Showcase Your Technical Skills:Don’t hold back on detailing your technical expertise! Include any relevant certifications and experiences that demonstrate your ability to handle large-scale GPU infrastructure and datacentre design. We love seeing candidates who can clearly communicate their technical prowess.

Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your past projects and achievements. We appreciate applicants who can convey complex ideas simply and effectively.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Nvidia

Know Your Stuff

Make sure you brush up on your knowledge of datacentre power, cooling, and MEP systems. Be ready to discuss specific technologies and strategies you've used in past projects. This will show that you’re not just familiar with the concepts but have practical experience too.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled challenges in datacentre design or deployment. Think about situations where you optimised power usage or improved cooling efficiency. Being able to articulate these experiences will demonstrate your ability to handle real-world issues.

Engage with the Interviewers

Don’t just wait for questions; engage with your interviewers by asking insightful questions about their current projects or challenges. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.

Communicate Clearly

Practice explaining complex technical concepts in simple terms. You might need to present ideas to non-technical stakeholders, so being able to communicate effectively is key. Use clear examples and avoid jargon unless necessary.