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.

What You Will Be Doing

• 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 Sim2Real 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.

What We Need To See

• 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 Sim2Real 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.

Ways To Stand Out From The Crowd

• Proven hands‑on experience applying accelerated computing and AI to surgical robotics, medical robotics, robot‑assisted intervention, intelligent instruments, autonomous lab or hospital robotics, smart operating room platforms, or adjacent Physical AI domains.
• Experience across the robotics or medical robotics development life cycle, including research, product development, technical project leadership, safety‑critical software, regulated healthcare environments, or deployment in real‑world clinical or operational settings.
• Deep experience applying VLA/VLM/LLM models for autonomous and robotic systems, agentic workflows, multimodal reasoning, reinforcement learning, imitation learning, policy evaluation, simulation‑based training, and Sim2Real validation.
• Demonstrated expertise with Omniverse‑based digital twins, Isaac Sim, Isaac Lab, scalable simulation pipelines, and real‑time robotics systems.
• Published thought leadership, open‑source contributions, patents, or recognized technical work in Physical AI, robotics, simulation, medical robotics, agentic AI, or an adjacent technical area.

NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate in our hiring and promotion practices on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.