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朝阳区, 中国
Onsite
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization.
What You'll Be Doing:
Track and drive ongoing Physical AI engagements across autonomous driving, robotics, and industrial automation, working closely with customers’ technical teams, local field teams, and global product teams.
Serve as the technical product management interface between local customer engagements and NVIDIA product organizations, ensuring clear visibility into engagement status, milestones, blockers, and next steps.
Coordinate joint projects between local SA teams, customers, partners, and global product / engineering teams, ensuring requirements are well documented, and progress is tracked through delivery.
Deeply understand customers’ Physical AI workloads and requirements — including simulation, synthetic data generation, robot learning, digital twins, and embodied AI model development — and map them to NVIDIA platforms such as Isaac Sim, Isaac Lab, Omniverse, Cosmos, DRIVE, and related software stacks.
Track and analyze industry trends, customer adoption patterns, and competitor solutions in autonomous driving, robotics simulation, embodied AI, digital twins, and world foundation models, and provide insights on how NVIDIA Physical AI products should evolve to meet market expectations.
What We Need to See:
5+ years of experience in the technology industry in roles such as technical product manager, technical program manager, solutions architect, systems engineer, robotics engineer, or ML engineer, with a master’s degree or above in computer science, robotics, electronic engineering, automation, or related fields.
Experience managing technical product or customer engagement programs, including tracking milestones, coordinating cross-functional stakeholders, managing risks, driving issue resolution, and communicating status to leadership.
Familiarity with one or more Physical AI domains such as robot simulation, autonomous vehicle development, reinforcement learning, synthetic data generation, digital twins, sensor simulation, or embodied AI model training.
Excellent communication skills: able to explain complex technical concepts clearly to audiences with varied technical backgrounds, and able to structure documents, dashboards, and presentations in a concise and convincing way.
Proficiency in written and spoken English and Chinese for collaboration with global product teams and local customers.
Ways to Stand Out from the Crowd:
Hands-on experience with NVIDIA Physical AI platforms such as Isaac Sim, Isaac Lab, Omniverse, Cosmos, DRIVE, or related simulation, robotics, and AI development tools.
Experience owning or contributing to a product roadmap, or technical program plan in an AI software, robotics, simulation, or autonomous systems domain.
Background in autonomous driving, robotics, embodied AI, synthetic data generation, world models, or large-scale simulation platforms.
Strong understanding of Physical AI ecosystem trends, including robotics foundation models, world foundation models, synthetic data pipelines, and competing industry platforms
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.