Darum lohnt es sich
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 Engin
