Senior Solution Architect - Physical AI, Medical and Surgical Robotics

At NVIDIA, we are advancing healthcare, life sciences, and robotics through Physical AI. As a Senior Solutions Architect for Medical and Surgical Robotics, you will collaborate with robotics companies, surgical robotics teams, developers, researchers, startups, and academic and industry leaders across EMEA to harness AI, accelerated computing, simulation, and robotics technologies. NVIDIA's Solution Architects are developers and scientists who apply the latest AI and accelerated computing technologies.

Our platforms are widely adopted across healthcare and robotics, including by surgical robotics innovators, medical technology companies, research institutions, autonomous systems teams, and startups building the next generation of intelligent physical systems.

In this role, you will serve as a trusted technical advisor, helping customers integrate accelerated computing, simulation, robot learning, and agentic AI at the edge and in the cloud. You will develop proof‑of‑concept demonstrations, build strategic relationships, and work with roboticists, AI researchers, simulation experts, software developers, data scientists, and product leaders on impactful healthcare and robotics projects.

The ideal candidate is passionate about Physical AI, medical and surgical robotics, agentic AI systems, and accelerated computing. They have several years of experience across robotics, simulation, AI software development, technical project leadership, or product development, and enjoy innovative technology and continuous learning.

• Partner with account teams and customers to identify high‑value Physical AI and robotics opportunities, define technical strategies, and map NVIDIA platform capabilities to customer goals.
• Design NVIDIA hardware and software into next‑generation medical and surgical robotics systems, intelligent instruments, and healthcare robotics platforms.
• Build proof‑of‑concept demos and reference workflows for AI‑enabled robotics, including robot perception, planning, manipulation, agentic workflows, synthetic data generation, simulation, and Sim2
  
  Real validation.
• Help customers build, simulate, train, deploy, and optimize robotics and AI workloads using NVIDIA platforms, including Omniverse, Isaac Sim, Isaac Lab, and NVIDIA inference software.
• Stay current on Physical AI, embodied AI, robot learning, agentic AI, surgical robotics, and simulation first development, and translate relevant advances into practical customer solutions.
• Create technical collateral and training for customers, partners, and internal teams, including whitepapers, blogs, wiki articles, workshops, and hands‑on technical sessions.
• Establish relationships with strategic customers and robotics ecosystem partners through remote collaboration and selective travel.

• MS, PhD, or equivalent experience in Computer Science, Robotics, Mathematics, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, or a closely related field.
• 5+ years of experience in software development, machine learning, deep learning, robotics, simulation, autonomy, high‑performance computing, or Physical AI.
• Strong practical understanding of AI architectures for embodied systems, including Vision Language Action (VLA) models, Vision Language Models (VLMs), Large Language Models (LLMs), agentic AI, robot perception, planning, manipulation, control, and human‑robot interaction.
• Hands‑on experience with simulation first robotics development, including synthetic data generation, digital twins, policy training and evaluation, and Sim2
  
  Real workflows.
• Practical familiarity with Omniverse, Isaac Sim, Isaac Lab, or comparable robotics simulation and training environments.
• Strong software development skills in C/C++, Python, with experience building robotics software pipelines, processing streaming sensor data, and optimizing algorithms for real‑time systems.
• Excellent communication, organization, and customer‑facing technical leadership skills, with the ability to manage multiple complex initiatives and present highly technical material clearly.

• Proven hands‑on experience applying accelerated…