At a Glance
- Tasks: Lead groundbreaking research in Robotics and Physical AI 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: Collaborative environment with excellent networking opportunities in London.
- Why this job: Make a real impact in the future of robotics and AI.
- Qualifications: Ph.D. in relevant fields and strong research background required.
The predicted salary is between 80000 - 100000 £ per year.
NVIDIA is hiring a Solution Architect for the AI Technology Centre team in London, 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 London? The UK is committed to becoming a global leader in robotics adoption, with a goal of £150 billion GDP growth by 2035. London offers one of the most active Physical AI research environments worldwide.
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 Robotics and Physical AI.
- Champion the adoption of NVIDIA software platforms (such as Isaac Sim/Lab, Cosmos, GR00T, Warp, and Newton) 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 Robotics Days).
- Help university PIs mentor postgraduate students.
What we need to see:
- Ph.D. in Robotics, Mechanical Engineering, Physics, or Computer Science (Computer Vision, AI, HCI specialisations).
- Research publications in Physical AI, Robotics and AI topics.
- Experience working in academic research groups.
- Comprehensive knowledge of Physical AI and Robotics: robot learning, manipulation, locomotion, perception, sim-to-real transfer, world models, or autonomous systems.
- 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 AI research for robotics.
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 robotics domain.
- 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 foster a diverse work environment and proud to be an equal opportunity employer!
Senior Solutions Architect, Physical AI and Robotics at NVAITC employer: Nvidia
NVIDIA is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration within the vibrant AI Technology Centre in London. Employees benefit from engaging in high-impact research projects alongside leading academic institutions, with ample opportunities for professional growth and development in one of the world's foremost environments for Physical AI and Robotics. The company's commitment to diversity and equal opportunity further enhances its appeal as a place where talented individuals can make meaningful contributions to groundbreaking advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect, Physical AI and Robotics at NVAITC
✨Tip Number 1
Network like a pro! Attend industry events, conferences, and meetups in London to connect with researchers and professionals in AI and robotics. Building relationships can open doors to opportunities that aren’t advertised.
✨Tip Number 2
Show off your expertise! Create a portfolio or a personal website showcasing your research publications and projects. This is a great way to demonstrate your credibility and make a lasting impression on potential employers.
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask them about their experiences and the company culture. This can give you valuable insights and help you tailor your application.
✨Tip Number 4
Leverage our platform! Apply through our website for the best chance of getting noticed. We’re always on the lookout for passionate candidates who can contribute to groundbreaking research in AI and robotics.
We think you need these skills to ace Senior Solutions Architect, Physical AI and Robotics at NVAITC
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 made an impact in the field of Robotics and Physical AI, so don’t hold back!
Tailor Your Application:When applying, customise your CV and cover letter to reflect the specific skills and experiences that align with the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Communicate Clearly:Your written communication skills are key! Ensure your application is clear, concise, and free of jargon. We appreciate straightforward language that showcases your expertise without overcomplicating things.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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 NVIDIA's goals in Physical AI and Robotics, and think about how you can contribute to their ongoing projects.
✨Familiarise Yourself with NVIDIA's Software Platforms
Get hands-on experience with NVIDIA's tools like Isaac Sim and Cosmos before the interview. Being able to discuss how you've used these platforms or similar technologies will show that you're not just a researcher but also someone who can apply their knowledge practically.
✨Prepare for Strategic Discussions
Since this role involves shaping institutional agreements and securing funding, think about your past experiences in these areas. Be ready to share specific examples of how you've successfully navigated academic partnerships or grant processes.
✨Showcase Your Communication Skills
As you'll be acting as a bridge between academic partners and NVIDIA teams, practice articulating complex ideas clearly and concisely. Consider preparing a brief presentation on a relevant topic to demonstrate your ability to communicate effectively during the interview.
