Solutions Architect - Physical AI

Reposted 4 Days Ago
Be an Early Applicant
Seoul
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Solutions Architect will support customers utilizing NVIDIA's Physical AI technology by building virtual simulations, deploying models, and communicating with partners.
Summary Generated by Built In

NVIDIA is seeking an outstanding Solutions Architect for Physical AI to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our Solutions Architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts passionate about 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 real world in the virtual world, training a model using the data gained from the simulation, and deploying the trained model into the embedded system.

  • Build a virtual world using NVIDIA Omniverse platform based on OpenUSD (Universal Scene Description) in NVIDIA RTX PRO Servers, generate synthetic data in the virtual world using NVIDIA Cosmos models, and test robots in the virtual world using NVIDIA Isaac Sim.

  • Help Korea enterprises fine-tune NVIDIA Isaac GR00T models, open humanoid foundation models in NVIDIA DGX or HGX systems with validating datasets if they are well enough to lead to high accuracy of the model.

  • Deploy the trained model into the embedded system such as NVIDIA Jetson platform using NVIDIA JetPack software stack.

  • Actively communicate with NVIDIA Headquarters in English, NVIDIA Korea partners, and NVIDIA Korea internal team members.

What we need to see:

  • More than 4+ years of experience in this technical area

  • Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field

  • 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)

  • Mature relation-building skills across various interested parties including customer developers, customer development team leaders, product teams or engineering teams in NVIDIA Headquarters, sales team in NVIDIA Korea

  • Excellent English communications skills both verbally and in written formats

Ways to stand out from the crowd:

  • 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 forward-thinking and hardworking people in the world working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Top Skills

Arm Cpu
Nvidia Cosmos
Nvidia Gpu
Nvidia Isaac Sim
Nvidia Jetpack Sdk
Nvidia Jetson
Nvidia Omniverse
Nvidia Rtx
Openusd
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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