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Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC

NVIDIANVIDIA·Semiconductors

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113 days

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H-1B history

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About the role

NVIDIA is hiring a Solution Architect for the AI Technology Centre team in the UK. This role is ideal for scientists who can also clearly define and apply strong strategic capabilities. Applicants must have significant publication records, community recognition, and research credibility to partner with Europe’s outstanding research groups on equal terms.

Why the UK? The UK has positioned itself as a global leader in AI, with major national investment into computing, foundation models, and AI safety. London offers one of the most active ecosystems for Generative AI, AI models, and large-scale AI systems worldwide, bringing together top research labs, high‑growth startups, and industry partners building the next generation of model‑driven applications.

What you'll be doing

  • Participate in high impact research projects alongside university PIs and their research labs.
  • Identify and evaluate new high-value research opportunities in Generative AI, AI Models and Systems.
  • Champion the adoption of NVIDIA software platforms (such as NeMo, NIMs, Cosmos, CUDA X) to tackle groundbreaking scientific challenges.
  • Shape and nurture strategic institutional agreements with top UK universities and research consortia.
  • Empower academic partners by helping them secure critical research funding from external sources.
  • Act as a bridge between academic partners and NVIDIA product, program, and engineering teams. Communicate software and hardware requirements to ensure our solutions continue to drive world-class research.
  • Deliver strategic insights on emerging trends, breakthroughs from the research ecosystem or labs.
  • Coordinate and deliver outreach activities (e.g., NVIDIA AI Days, NVIDIA Generative AI Days).
  • Help university PIs mentor postgraduate students.


What we need to see

  • Ph.D. in Computer Science, Engineering, Applied Mathematics, or Physics.
  • Research publications in Generative AI, AI Models, AI Systems, and related topics.
  • Experience working in academic research groups.
  • Extensive knowledge and experience with recent advancements in LLMs, VLMs, Agentic AI and Generative AI.
  • Experience with scientific policy engagement, grant processes, or national/European research program structures. 
  • Excellent written and verbal communication skills in English.
  • Proven ability to work collaboratively in a team environment and learn new technologies quickly.
  • 5+ years of hands-on experience in Generative AI, AI Models and Systems research.


Ways to stand out from the crowd

  • Postdoctoral or faculty experience is a plus, but no more than 10 years following a Ph.D.
  • Recognition across the research community with awards, named fellowships and grants in the Generative AI area.
  • Experience in technology transfer - advancing research prototypes toward product integration or extensive platform deployment.
  • Experience building and implementing projects with NVIDIA software platforms.


NVIDIA is widely considered to be one of the technology world’s most desirable employers! 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 is committed to foster a diverse work environment and proud to be an equal opportunity employer!

Skills & Tags

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVDA$222.27+1.34%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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