At a Glance
- Tasks: Lead groundbreaking research in Generative AI and collaborate with top universities.
- Company: Join NVIDIA, a leader in AI technology and innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic role with excellent networking opportunities in a thriving AI ecosystem.
- Why this job: Make a real impact in the AI field while working with leading experts.
- Qualifications: Ph.D. in relevant fields and extensive experience in Generative AI research.
The predicted salary is between 80000 - 100000 £ per year.
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 committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer.
Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC employer: Nvidia
NVIDIA is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration within the vibrant UK AI ecosystem. Employees benefit from engaging in high-impact research projects alongside leading academic institutions, with ample opportunities for professional growth and development in cutting-edge technologies. The company's commitment to diversity and inclusion, coupled with its strategic partnerships, ensures a rewarding environment for those passionate about advancing the field of Generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC
✨Tip Number 1
Network like a pro! Attend AI conferences, workshops, and meetups to connect with industry leaders and fellow researchers. Don't be shy—introduce yourself and share your work; you never know who might be looking for someone just like you!
✨Tip Number 2
Show off your expertise! Create a portfolio or a personal website showcasing your research publications and projects. This is your chance to highlight your skills and make a lasting impression on potential employers.
✨Tip Number 3
Leverage social media! Follow key players in the AI field on platforms like LinkedIn and Twitter. Engage with their content, share your insights, and build relationships that could lead to job opportunities down the line.
✨Tip Number 4
Apply through our website! We love seeing passionate candidates who align with our mission. Tailor your application to highlight how your experience fits the role, and don’t forget to mention any collaborative projects you've been involved in!
We think you need these skills to ace Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC
Some tips for your application 🫡
Show Off Your Research:Make sure to highlight your significant publication records and any community recognition you've received. We want to see how you've contributed to the field of Generative AI and how your work aligns with our mission.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the extra step to connect their background with what we’re looking for.
Communicate Clearly:Your written communication skills are crucial, so make sure your application is clear and concise. We appreciate well-structured documents that convey your ideas effectively, especially when discussing complex topics like AI models and systems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at NVIDIA!
How to prepare for a job interview at Nvidia
✨Know Your Research Inside Out
Make sure you can discuss your research publications and projects in detail. Be prepared to explain how your work aligns with the latest advancements in Generative AI and AI Models. This will show your depth of knowledge and passion for the field.
✨Showcase Your Collaboration Skills
Since this role involves working closely with academic partners and research labs, highlight your experience in collaborative projects. Share specific examples of how you've successfully worked in teams and contributed to joint research efforts.
✨Familiarise Yourself with NVIDIA Platforms
Get to grips with NVIDIA's software platforms like NeMo and CUDA X. Being able to discuss how these tools can be applied to tackle scientific challenges will demonstrate your readiness to hit the ground running.
✨Prepare for Strategic Discussions
Think about potential strategic opportunities for collaboration with UK universities and research consortia. Be ready to discuss how you would approach building these partnerships and securing funding, as this is a key aspect of the role.
