Nvidia Solutions Architect Robotics 

United States, Texas 

480236166

What you'll be doing:

As a Robotics Solutions Architect (SA), you will help our customers 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. You will be responsible to:

• Act as technical expert to guide customers on solving complex Robotics technical challenges by implementing end-to-end solutions using NVIDIA products.

• Work directly with customers to help them scope and develop solutions for robotics simulation, synthetic data generation, software in the loop testing using NVIDIA's Isaac Lab, Isaac Sim, Newton, Warp, 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, and computer graphics.

What we need to see:

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

• 4+ years of proven experience in robotics development, simulation, and/or AI.

• Proficiency in Python, with experience in robotics software frameworks like ROS/ROS2.

• Familiarity with one or more 3D workflows and tools (e.g., Unity, Unreal Engine, Blender) and Robotics Simulation frameworks (e.g., NVIDIA Warp, PhysX, Isaac SIM, MuJoCo).

• Strong understanding of robotics systems (kinematics, dynamics, perception, control).

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

Ways to stand out from the crowd:

• Familiarity with NVIDIA Omniverse, 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.

• Applied experience with industrial robotics and respective workflows (eg motion planning and navigation, control, localization & collision avoidance, computer vision, point cloud processing)

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

• Experience with cloud environments deployments and distributed systems.

• External, customer-facing skills and background.