N

NVIDIA

Designs the chips and software that power AI

Physical AI and Simulation Solution Architect

Full-TimeUpdated
No salary listed
Senior
Bachelor's
Tokyo, Japan
In Person
Solution EngineeringPre-Sales Solution Engineering

About the job

Requirements
  • A solid base in one or more relevant areas, such as computer graphics, physically based rendering, physics simulation, engineering simulation, digital twins, or accelerated computing.
  • Excellent communication skills in both Japanese and English.
  • Hands-on success developing technical prototypes, setting up evaluations, benchmarking solutions, or supporting customer implementations of external libraries.
  • Seven or more years of relevant engineering, technical sales, or solution architecture experience.
  • Practical understanding of three-dimensional workflows and asset pipelines through OpenUSD or similar scene-description, modeling, and data-interchange technologies.
  • Experience programming in Python and a higher-level language such as C or C++.
  • A bachelor's degree in computer science, engineering, or a related technical field, or equivalent experience.
Responsibilities
  • Help customers develop and integrate accelerated simulation and AI pipelines for digital twin services and applications through architecture consulting, hands-on engineering, and collaboration with internal and external teams.
  • Lead technical sales activities for Omniverse customers as a domain expert in complementary SDKs and libraries; advise customers on simulation goals using samples that demonstrate NVIDIA libraries for proofs of concept, pilots, and hybrid production deployments in cloud and on-premises environments.
  • Capture field insights, advocate for partner needs, and contribute technical mentorship to improve product direction, enablement resources, and team execution.
  • Drive incorporation of Omniverse libraries, including ovRTX, ovPhysx, ovStorage, and usd-agents, into partner applications, services, and enterprise workflows.
  • Translate technical and business requirements into solution plans and coordinate with sales, product engineering, developer relations, and partner teams to resolve blockers and advance adoption.
Desired Qualifications
  • OpenUSD certification or substantial hands-on work with OpenUSD composition, schemas, validation, optimization, or asset-pipeline development.
  • Background crafting digital twins or simulation workflows for AI factories, data centers, architecture and engineering, industrial systems, or other complex physical environments.
  • Knowledge of high-performance rendering techniques, physics, and simulation technologies such as NVIDIA RTX, PhysX, CUDA, multi-physics solvers, or AI surrogate models.
  • Success enabling partner solutions or building workflows such as computer-aided-design conversion, synthetic data generation, defect detection, neural reconstruction, or simulation-ready asset creation.

About the company

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, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

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Benefits

  • Company Equity
  • 401(k) Company Match

Growth & Insights and Company News

6 month growth

1%

1 year growth

0%

2 year growth

-1%
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