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 opportunities to mentor students and shape future technologies.
- Why this job: Make a real impact in the AI field while working with leading researchers.
- 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.
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, communicating 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 in Cambridge employer: NVIDIA AI
NVIDIA is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration within the AI Technology Centre in the UK. 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 fosters a diverse environment, empowering its team members to contribute meaningfully to groundbreaking advancements in Generative AI while enjoying a supportive atmosphere that values their contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC in Cambridge
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, workshops, or even local meetups related to AI and Generative AI. Building relationships can lead to opportunities that aren’t advertised.
✨Show Off Your Expertise
Don’t just wait for job openings; showcase your knowledge! Write articles, give talks, or share insights on social media about your research in Generative AI. This will help you get noticed by potential employers like NVIDIA.
✨Leverage LinkedIn
Make sure your LinkedIn profile is up-to-date and reflects your skills and experiences. Engage with posts from companies you’re interested in, and don’t hesitate to reach out to recruiters directly. We love seeing proactive candidates!
✨Apply Through Our Website
When you find a role that excites you, 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 our team at NVIDIA.
We think you need these skills to ace Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC in Cambridge
Some tips for your application 🫡
Show Off Your Research Credibility: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 at NVIDIA.
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 for this role, 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 serious about joining our team at NVIDIA!
How to prepare for a job interview at NVIDIA AI
✨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 Generative AI and NVIDIA's goals. This will show your deep understanding of the field and your ability to contribute meaningfully.
✨Familiarise Yourself with NVIDIA Platforms
Get to grips with NVIDIA's software platforms like NeMo, NIMs, and CUDA X. Being able to discuss how you've used or could use these tools in your research will demonstrate your readiness to champion their adoption in academic settings.
✨Showcase Your Collaborative Spirit
Highlight your experience working with academic partners and research groups. Share specific examples of how you've successfully collaborated on projects or secured funding, as this role requires strong teamwork and communication skills.
✨Stay Updated on Industry Trends
Be prepared to discuss recent advancements in LLMs, VLMs, and Agentic AI. Showing that you're aware of emerging trends and breakthroughs will position you as a thought leader and someone who can deliver strategic insights.
