Senior Solutions Architect, Physical AI and Robotics

🕒 May 28

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer!