We are looking for a Solutions Architect, Physical Ai &amp; Omniverse, passionate about the ground-breaking potential of operationalized industrial digital twins for 3D simulation, generative AI, and Synthetic Data Generation. This is the era of Physical AI, and at NVIDIA, through the Omniverse libraries and SDKs, alongside the Cosmos world foundation models and Omniverse RTX rendering, is pioneering advancements in AI by enabling systems to be designed, simulated, trained, and tested in physically based realistic virtual environments. This role offers a unique chance to shape the rapid growing field of Physical AI &amp; GPU accelerated Simulation by driving adoption of NVIDIAs pioneering technologies with our key customers and partners. Join us in revolutionizing Physical AI!  What youll be doing:<ul><li>Help our customers integrate and develop accelerated Simulation and AI pipelines for Robotics applications.</li><li>Act as technical authority to guide customers on solving sophisticated technical challenges by implementing end-to-end solutions using NVIDIA products, platform SDKs and libraries.</li><li>Engage with clients to guide them developing solutions for industrial digital twins, to generate synthetic data for Ai training, integrate Generative Ai workflows within their software, and enhance workflows applying NVIDIAs Omniverse Kit SDK and Cosmos.</li><li>Partner with Sales, NVIDIA Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption. Develop a deep understanding of customer workflows and requirements, lead proof-of-concepts evaluations and provide internal feedback to drive continuous product improvements.</li><li>Share domain expertise with the NVIDIA solutions architect community and stay updated on advancements in robotics, AI, simulation and computer graphics.</li></ul>What we need to see:<ul><li>Bachelors degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.</li><li>12+ years of work experience in development for real time graphics applications, simulation, and/or AI.</li><li>Strong programming skills in Python and a high-performance language such as C++ for efficient system development.</li><li>Practical knowledge on one or more 3D workflows and tools (e.g., Unity, Unreal Engine, Blender) and Robotics Simulation frameworks (e.g., NVIDIA PhysX and Isaac SIM, Gazebo, MujoCo, Pybullet, Drake).</li><li>Excellent interpersonal skills to convey technical concepts to diverse audiences.</li><li>Self-starter with passion for growth, learning, and multi-functional teamwork.</li></ul>Ways to stand out from the crowd:<ul><li>Familiarity with NVIDIA Omniverse, Oomniverse foundation applicaitons like USD Composer, Isaac Sim or Isaac Lab and with relevant data formats like Pixar’s OpenUSD and URDF</li><li>Experience with control and actuator modeling in simulation frameworks like MuJoCo for sim2real experiments.</li><li>Knowledge of industrial workflows (eg layout planning, motion planning and navigation, control, localization &amp; collision avoidance, computer vision, point cloud processing) and past exposure to robotics software frameworks like ROS/ROS2 is a plus.</li><li>Knowledge of deep learning principles as they apply to robotics and familiarity with NVIDIA’s AI technologies like TensorRT, TAO or Nemo platforms.</li><li>Possess a Master’s or PhD in Computer Science, Robotics, Engineering, or related field. Lead tech teams and guide projects.</li></ul>NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If youre creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until October 12, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including 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.