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 role focuses on Physical AI and GPU‑accelerated simulation using NVIDIA Omniverse libraries and SDKs, Cosmos world foundation models, and RTX rendering to design, simulate, train, and test systems in physically realistic virtual environments.

Responsibilities

• Help customers integrate and develop accelerated simulation and AI pipelines for robotics applications.
• Act as a technical authority to guide customers in solving sophisticated technical challenges by implementing end‑to‑end solutions using NVIDIA products, platform SDKs, and libraries.
• Engage with clients to develop solutions for industrial digital twins, generate synthetic data for AI training, integrate generative AI workflows, and enhance workflows using NVIDIA 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 product improvements.
• Share domain expertise with the NVIDIA solutions architect community and stay updated on advancements in robotics, AI, 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 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

• Familiarity with NVIDIA Omniverse, Omniverse foundation applications (e.g., USD Composer, Isaac Sim, Isaac Lab) and relevant data formats like Pixar’s OpenUSD and URDF.
• Experience with control and actuator modeling in simulation frameworks (e.g., MuJoCo) for sim‑to‑real experiments.
• Knowledge of industrial workflows: layout planning, motion planning and navigation, control, localization & collision avoidance, computer vision, and point cloud processing.
• Past exposure to robotics software frameworks like ROS/ROS2.
• Knowledge of deep learning principles as applied to robotics and familiarity with NVIDIA AI technologies such as TensorRT, TAO, or NeMo.
• Advanced degrees (Master’s or PhD) in Computer Science, Robotics, Engineering, or related fields; experience leading technical teams and guiding projects.

Compensation & Benefits

• Base salary range: 224,000 USD - 356,500 USD (final base salary determined based on location, experience, and comparable roles).
• Eligible for equity and benefits (link to NVIDIA benefits provided in original posting).

Other details

• Applications accepted at least until October 12, 2025.
• NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.