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, 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 & GPU accelerated simulation by driving adoption of NVIDIA's pioneering technologies with our key customers and partners. Join us in revolutionizing physical AI!
What you'll be doing:
Help our 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 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 physical AI, generative AI, 3D 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 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 from the crowd:
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 (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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
