Description
As a Senior Solutions Architect for Medical and Surgical Robotics at NVIDIA, 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. 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. Your primary responsibilities will include:
Partnering with account teams and customers to identify high-value Physical AI and robotics opportunities, defining technical strategies, and mapping NVIDIA platform capabilities to customer goals.
Designing NVIDIA hardware and software into next-generation medical and surgical robotics systems, intelligent instruments, and healthcare robotics platforms.
Building 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.
Helping customers build, simulate, train, deploy, and optimize robotics and AI workloads using NVIDIA platforms, including Omniverse, Isaac Sim, Isaac Lab, and NVIDIA inference software.
Staying current on Physical AI, embodied AI, robot learning, agentic AI, surgical robotics, and simulation first development, and translating relevant advances into practical customer solutions.
Creating technical collateral and training for customers, partners, and internal teams, including whitepapers, blogs, wiki articles, workshops, and hands-on technical sessions.
Establishing relationships with strategic customers and robotics ecosystem partners through remote collaboration and selective travel.
We are looking for a highly skilled and experienced professional with a strong background in computer science, robotics, mathematics, biomedical engineering, electrical engineering, mechanical engineering, or a closely related field. You should have:
A Master's degree or Ph.D. 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.
If you have 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, we encourage you to apply.
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are passionate about working with cutting-edge technologies and collaborating with a talented team of professionals, we invite you to join our team.