NVIDIA

2 months ago

Solutions Architect - AI Technology Center for Physical AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Senior Solutions Architect for NVIDIA’s AI Technology Center focusing on Physical AI, Digital Twin and Robotics. You will partner with researchers and industry teams to translate experimental concepts into production-ready research environments, leveraging Omniverse, USD, and Isaac Sim to advance frontier AI with NVIDIA’s technology stack.

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Understand NVIDIA’s methodology to develop Physical AI, including the three-computer problem, simulating in a virtual world, training a model, and deploying the trained model into the embedded system.
•Help researchers in universities or enterprises in Korea build a virtual world using NVIDIA Omniverse, generate synthetic data with Cosmos models, test robots with Isaac Sim, and fine-tune and deploy GR00T and humanoid foundation models.
•Review and rank proposals from researchers in Korea based on technical soundness, novelty, and alignment with NVIDIA reference designs.
•Advise on transitioning from experimental code to large-scale, production-ready research environments, demonstrating performance gains from NVIDIA technology stack.
•Collaborate across academia and industry to advance Physical AI projects and communicate findings effectively.

Key Requirements

•PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics 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, or vision-language 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

Experience:5+ yearsAIRoboticsDigital TwinVirtual RealityOpenUSD

Education:PhD / Doctorate

Skills:EnglishCommunicationCollaborationPresentationProblem-solving

Languages:English

Tech Stack:NVIDIA GPUsProjects Nvidia OmniverseUSDOpenUSDNVIDIA CosmosIsaac SimJetsonGR00T models

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Solutions Architect - AI Technology Center for Physical AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Understand NVIDIA’s methodology to develop Physical AI, including the three-computer problem, simulating in a virtual world, training a model, and deploying the trained model into the embedded system.
•Help researchers in universities or enterprises in Korea build a virtual world using NVIDIA Omniverse, generate synthetic data with Cosmos models, test robots with Isaac Sim, and fine-tune and deploy GR00T and humanoid foundation models.
•Review and rank proposals from researchers in Korea based on technical soundness, novelty, and alignment with NVIDIA reference designs.
•Advise on transitioning from experimental code to large-scale, production-ready research environments, demonstrating performance gains from NVIDIA technology stack.
•Collaborate across academia and industry to advance Physical AI projects and communicate findings effectively.

Key Requirements

•PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics 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, or vision-language 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

Experience:5+ yearsAIRoboticsDigital TwinVirtual RealityOpenUSD

Education:PhD / Doctorate

Skills:EnglishCommunicationCollaborationPresentationProblem-solving

Languages:English

Tech Stack:NVIDIA GPUsProjects Nvidia OmniverseUSDOpenUSDNVIDIA CosmosIsaac SimJetsonGR00T models

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor