Senior Solutions Architect, Physical AI and Omniverse

Details

We are looking for a Solutions Architect, Physical AI & 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, we are 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 rapidly growing field of physical AI & GPU-accelerated simulation by driving adoption of NVIDIA's technologies with key customers and partners.

Responsibilities

• Help customers integrate and develop accelerated 3D simulation and AI pipelines for physical AI applications.
• 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.
• Engage with clients to guide them developing solutions for industrial digital twins, 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-concept 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 physical AI, generative AI, 3D simulation and computer graphics.

Requirements

• 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 of one or more 3D workflows and tools (e.g., Unity, Unreal Engine, Blender) and 3D 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

• Familiarity with NVIDIA Omniverse, Omniverse template applications 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 (layout planning, motion planning and navigation, control, localization & collision avoidance, computer vision, point cloud processing) and exposure to robotics software frameworks like ROS/ROS2.
• 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. Experience leading technical teams and guiding projects.

Compensation & Benefits

• Base salary range: 224,000 USD - 356,500 USD (final base salary will be determined based on location, experience, and comparable pay).
• Eligible for equity and other benefits (see NVIDIA benefits page).

Other details

• Location: Santa Clara, CA, United States.
• Employment type: Full time.
• Application window: Applications accepted at least until December 9, 2025.
• Equal opportunity: NVIDIA is an equal opportunity employer and does not discriminate based on protected characteristics.