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: Dynamic role with excellent networking opportunities in a vibrant research environment.
- Why this job: Make a real impact in the future of robotics while collaborating with leading researchers.
- Qualifications: Ph.D. in relevant fields and extensive experience in AI research.
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 in London 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 workplace where meaningful contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect, Physical AI and Robotics at NVAITC in London
✨Tip Number 1
Network like a pro! Attend industry events, conferences, and meetups related to AI and robotics. This is your chance to connect with potential colleagues and showcase your expertise in person.
✨Tip Number 2
Show off your passion for the field! Create a portfolio or blog where you share insights on recent trends in Physical AI and Robotics. This not only highlights your knowledge but also makes you memorable to recruiters.
✨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 express your enthusiasm for the position.
✨Tip Number 4
Leverage our website for applications! We’ve got a streamlined process that makes it easy for you to apply and stand out. Plus, it shows you’re serious about joining our team at NVIDIA.
We think you need these skills to ace Senior Solutions Architect, Physical AI and Robotics at NVAITC in London
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. This is your chance to showcase your expertise in Physical AI and Robotics, so don’t hold back!
Tailor Your Application:We want to see how you fit into our team! Customise your CV and cover letter to reflect the skills and experiences that align with the job description. Mention specific NVIDIA software platforms you’ve worked with to make your application pop.
Communicate Clearly:Your written communication skills are crucial for this role. Keep your application clear and concise, using straightforward language to convey your ideas. Remember, we’re looking for someone who can bridge the gap between academia and industry!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure it gets into the right hands. Plus, it shows us you’re serious about joining the NVIDIA team!
How to prepare for a job interview at Nvidia
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in Physical AI and Robotics. Brush up on NVIDIA's software platforms like Isaac Sim and Cosmos, as you'll want to demonstrate your familiarity with these tools during the interview.
✨Showcase Your Research
Prepare to discuss your publication record and any significant projects you've worked on. Be ready to explain how your research aligns with NVIDIA’s goals and how you can contribute to high-impact projects alongside university PIs.
✨Communicate Clearly
Since excellent communication skills are a must, practice articulating complex ideas simply and effectively. Think about how you would explain your work to someone outside your field, as this will help you connect with the interviewers.
✨Demonstrate Collaboration Skills
Highlight your experience working in academic research groups and your ability to collaborate with diverse teams. Share examples of how you've successfully partnered with others to secure funding or advance research initiatives.
