테헤란로, 11에서 최고의 solution architect, developer transformation 채용공고 12개(지금 채용 중!)

Solutions Architect - AI Technology Center for Physical AI
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Solutions Architect - AI Technology Center for Physical AI
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PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
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Solutions Architect - AI Technology Center for Physical AI

NVIDIA -
서울

지금 지원하기

채용공고 세부정보

정규직

상세 직무 내용

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. You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts dedicated to Physical AI. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!

What you will be doing:

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.

What we need to see:

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, vision language models, or robot foundation 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, especially dexterous and bimanual manipulation, motion retargeting and teleoperation, humanoid whole-body control, ROS2, Isaac ROS, and NVIDIA Jetson and JetPack SDK
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.

Ways to stand out from the crowd:

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)

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative and autonomous, we want to hear from you!

NVIDIA is committed to encouraging a diverse work environment and is 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.

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