NVIDIA
Solutions Architect, GenAI

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NVIDIA’s Worldwide Field Operations (WWFO) Team
NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solutions Architect with deep expertise in Diffusion Models. You will work as the primary technical specialist for selected NVIDIA customers. Your task is to help our customers and make their solutions more efficient, usable, or economic by driving adoption of state-of-the-art compute and software platforms. A key part of this role involves close collaboration with a wide range of team members including developers, data scientists, IT managers, and senior executives. The ideal candidate is an experienced AI specialist with a deep understanding of generative AI diffusion models, data selection, and their training.
What You Will Be Doing
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Serve as the primary technical expert between NVIDIA and our ecosystem.
- Partner externally with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology.
- Partner internally with engineering, product, and research.
What We Need To See
- Deep expertise and hands-on experience in AI/Deep Learning specifically with diffusion networks and the intersection of image/video/text processing.
- MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields.
- Excellent verbal, written communication, and technical presentation skills in English.
- 6+ years' work or research experience with Python/C++/other software development.


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Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer www.nvidiabenefits.com.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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