Senior Solution Architect – Physical AI, Medical and Surgical Robotics

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Responsibilities 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.

Create technical collateral and training for customers, partners, and internal teams, including whitepapers, blogs, wiki articles, workshops, and hands‑on technical sessions. 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. Establish relationships with strategic customers and robotics ecosystem partners through remote collaboration and selective travel.

Requirements 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. #J-18808-Ljbffr