NVIDIA
Solutions Architect - NVIDIA Cloud Partners

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About NVIDIA
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.
About the Role
We are looking for an experienced Solutions Architect to help bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure.
Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software technologies to production in the field?
We are looking for a Solutions Architect to join the NVIDIA team focused on supporting customers as they build the next-generation GPU infrastructure for their customers. As a part of the NVIDIA solutions architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA's most strategic customers as well as offering recommendations for business and engineering teams based on customer feedback on product strategy.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You'll Be Doing
- Collaborating with NVIDIA Cloud Partners to create, implement, and put into operation NVIDIA's innovative hardware and software solutions.
- Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.
- Act as the primary technical support for customers during the development, construction and production of extensive GPU cloud infrastructure through whole customer lifecycle.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure.
- Prepare and deliver technical content to customers including presentations, workshops, etc.
- Analyze and develop joint solutions for customer performance and scaling issues.
What We Need to See
- BS/MS/PhD in Mechanical/Electrical Engineering, or other Engineering fields or equivalent experience.
- Motivation and skills to own and drive technical engagements with customers throughout full customer life-cycle.
- 5+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers.
- 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.


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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!
NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.
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