Nvidia Senior Solutions Architect Physical AI Omniverse 

United States, Oregon 

371344615

What you'll be doing:

• Help our customers integrate and develop accelerated Simulation and AI pipelines for Robotics applications.

• Act as technical authority to guide customers on solving sophisticated technical challenges by implementing end-to-end solutions using NVIDIA products, platform SDK's and libraries.

• 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 NVIDIA's Omniverse Kit SDK and Cosmos.

• 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.

• Share domain expertise with the NVIDIA solutions architect community and stay updated on advancements in robotics, AI, simulation and computer graphics.

What we need to see:

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.

• 12+ years of work experience in development for real time graphics applications, simulation, and/or AI.

• Strong programming skills in Python and a high-performance language such as C++ for efficient system development.

• 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).

• Excellent interpersonal skills to convey technical concepts to diverse audiences.

• Self-starter with passion for growth, learning, and multi-functional teamwork.

Ways to stand out from the crowd:

• 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

• Experience with control and actuator modeling in simulation frameworks like MuJoCo for sim2real experiments.

• Knowledge of industrial workflows (eg layout planning, motion planning and navigation, control, localization & collision avoidance, computer vision, point cloud processing) and past exposure to robotics software frameworks like ROS/ROS2 is a plus.

• Knowledge of deep learning principles as they apply to robotics and familiarity with NVIDIA’s AI technologies like TensorRT, TAO or Nemo platforms.

• Possess a Master’s or PhD in Computer Science, Robotics, Engineering, or related field. Lead tech teams and guide projects.