We are looking for a Solutions Architect, Robotics Simulation who is passionate about the ground-breaking potential of 3D simulation and generative AI in robotics. This is the era of Physical AI, where intelligent machines can learn, reason, and interact with the world. NVIDIA, through the Isaac, Omniverse and Cosmos platforms, is pioneering advancements in AI robotics by enabling autonomous systems to be first designed, simulated, trained, and tested in physically based realistic virtual environments. This role offers a unique chance to shape the rapid growing field of robotics AI & 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:
As a Robotics Solutions Architect (SA), you will help our partners integrate and develop accelerated Simulation and AI pipelines for Robotics applications. This role involves a mix of consulting, hands-on engineering, and collaboration with internal and external teams.
Act as technical expert to guide partners on solving complex robotics technical challenges by implementing end-to-end solutions using NVIDIA products.
Work directly with partners to help them scope and develop solutions for robotics learning and simulation, synthetic data generation, software in the loop testing, AI enhanced manipulation workflows using NVIDIA's Isaac Lab, Isaac Sim, Newton, Cosmos, and other relevant platforms.
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, Robotics, or a related technical field (or equivalent experience).
4+ years of proven experience in robotics development, with experience in simulation and AI domains.
Proficiency in Python, with experience in robotics software frameworks like ROS/ROS2.
Familiarity with one or more Robotics Simulation frameworks (e.g., Isaac Lab, Isaac Sim, Newton, Warp, PhysX, MujoCo, Pybullet, Drake) and 3D workflows and tools (e.g., Unity, Unreal Engine, Blender)
Applied experience with industrial robot arms, mobile manipulators, humanoids and/or dexterous hands, with emphasis on reinforcement learning, manipulation motion planning, grasping or control workflows.
Excellent communication 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 C++, CUDA, NVIDIA Warp or the Newton simulation engine.
Hands-on experience with Isaac Lab or Isaac Sim and with relevant data formats like Pixar’s OpenUSD and URDF
Understanding of large-scale model training, reinforcement learning or distributed simulation on GPU clusters.
Experience with Generative AI models or Neural rendering workflows.
External, customer-facing skills and background.
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 you're creative and autonomous, we want to hear from you!
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.Top Skills
What We Do
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.”
