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NVIDIA

Solutions Architect - AI Technology Center for Physical AI

NVIDIA is hiring a Solutions Architect - AI Technology Center for Physical AI in Seoul, South Korea. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Nvidia Omniverse, Openusd and Nvidia Cosmos.
  • Level classifies it as a senior role.
  • Level lists 2,600+ other open roles at NVIDIA.

AI in this role

Solutions architect partnering with researchers to drive adoption of NVIDIA's physical AI, robotics, and digital twin platforms.

nvidia-omniverseopenusdnvidia-cosmosnvidia-isaacgr00t
computer-visionphysical-airoboticsdeep-learningsolutions-architecturedigital-twins

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.

How we rate this

Solutions Architect - AI Technology Center for Physical AI at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionPhysical AIRoboticsDeep learningSolutions ArchitectureDigital TwinsNvidia OmniverseOpenusd

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where physical ai was part of your work. What did you do?
  3. Tell me about a project where robotics was part of your work. What did you do?
  4. Tell me about a project where deep learning was part of your work. What did you do?
  5. Tell me about a project where solutions architecture was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer vision, Physical AI, Robotics, Deep learning, and Solutions Architecture. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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