Solutions Architect - Physical AI at NVIDIA

Seoul, South Korea, South Korea

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Robotics, TechnologyIndustries

Requirements

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
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)

Responsibilities

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
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

Skills

Deep Learning

NVIDIA Omniverse

OpenUSD

NVIDIA Cosmos

NVIDIA Isaac Sim

NVIDIA Isaac GR00T

NVIDIA DGX

NVIDIA HGX

NVIDIA Jetson

NVIDIA JetPack

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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