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NVIDIA

Designs the chips and software that power AI

Solutions Architect - AI Technology Center for Physical AI

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • A PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, another Engineering field, or a related field, or equivalent experience.
  • Proven experience managing complex technical projects and navigating corporate strategic goals.
  • A solid understanding of basic deep learning, including computer vision models, large language models, vision language models, or robot foundation models.
  • A strong technical background in 3D virtual reality, photorealistic technologies, and USD (Universal Scene Description).
  • At least five 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.
  • Strong written and oral communication skills in English.
  • Excellent presentation, communication, and collaboration skills.

Responsibilities

  • Understand NVIDIA’s methodology for developing Physical AI, including the three-computer problem: simulating in the virtual world, training a model, and deploying the trained model into an embedded system.
  • Help researchers at universities or enterprises in Korea build a virtual world using the NVIDIA Omniverse platform based on OpenUSD, generate synthetic data using NVIDIA Cosmos models, test robots using NVIDIA Isaac Sim, and fine-tune and deploy NVIDIA GR00T models.
  • Review and rank proposals submitted by researchers from 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 gains provided by the NVIDIA technology stack.

Desired Qualifications

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

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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