Solutions Architect - AI Technology Center for Physical AI

About

NVIDIA AI Technology Center is seeking outstanding Senior Solutions Architects to catalyze the global research community by embedding NVIDIA as a core scientific collaborator. We move beyond standard technical support to act as elite research partners, driving the adoption of NVIDIA's platform through high-impact, co-authored breakthroughs and the shared pursuit of frontier AI discoveries. Primary focus on Physical AI technical engagements including Digital Twin and Robotics with researchers and developers at our key partner researcher from universities and joint labs.

Responsibilities

• Understand NVIDIA's methodology how to develop Physical AI, so called the three-computer problem, simulating in the virtual world, training a model, and deploying the trained model into the embedded system.
• Help researchers in the universities or enterprises in Korea build a virtual world using NVIDIA Omniverse platform based on OpenUSD (Universal Scene Description), generate synthetic data using NVIDIA Cosmos models, test robots using NVIDIA Isaac Sim, and fine-tune and deploy NVIDIA GR00T models, open humanoid foundation models.
• Review and rank proposals submitted by researchers from the universities or enterprises in Korea based on technical soundness, novelty, and the degree to which they demonstrate NVIDIA reference designs.
• Advise on the transition from experimental code to large-scale, production-ready research environments, demonstrating the performance leap provided by the NVIDIA technology stack.

Requirements

• PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
• Proven experience in managing complex technical projects and navigating corporate strategic goals
• Solid understanding of basic deep learning including computer vision models, large language models, or vision language models
• Strong technical background in 3D virtual reality, photorealistic technologies, and USD (Universal Scene Description)
• 5+ years of hands-on experience, primarily with Digital Twin and Robotics technologies
• Experience with NVIDIA GPUs and software libraries
• Strong problem-solving and debugging skills
• Excellent presentation, communication, and collaboration skills
• Strong written and oral communication skills in English

Preferred

• Good track record of academic research publications
• Experience working across academia, industry and the government
• Experience in the embedded system, especially NVIDIA Jetson platform, composed of ARM CPU, NVIDIA GPU, NVIDIA JetPack SDK, and NVIDIA Isaac ROS (Robot Operating System)

Benefits

자세한 사항은 홈페이지 참조