Solutions Architect, Robotics

September 4

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Help customers integrate and develop accelerated Simulation and AI pipelines for Robotics applications. • Act as technical expert to guide customers on solving sophisticated robotics technical challenges by implementing end-to-end solutions using NVIDIA products. • Work directly with customers to help them scope and develop solutions for industrial robotics simulation, synthetic data generation, software in the loop testing, AI enhanced manipulation workflows using NVIDIA's Isaac Sim, Isaac Lab, 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.

🎯 Requirements

• Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. • 4+ years of work experience in robotics development, simulation, and/or AI. • Proficiency in Python, with exposure to robotics software frameworks like ROS/ROS2. • Practical knowledge on 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). • Strong fundamentals on robotics systems (kinematics, dynamics, perception, control). • Excellent communication skills. • Self-starter with passion for growth, learning, and multi-functional teamwork.

🏖️ Benefits

• equity • benefits