Simplify Logo
UniversalAGI

UniversalAGI

Deploys autonomous AI agents for enterprises

Aerospace Simulation Engineer

Full-Time
No salary listed
Mid
Master's, PhD
San Francisco, CA, USA
In Person

Five days on-site per week required.

About the job

Requirements
  • 3-5+ years of industry hands-on experience running aerospace computational fluid dynamics simulations, including preprocessing, simulation, post-processing, and design iteration.
  • Strong experience with Star-CCM+ as a primary solver.
  • Experience across subsonic, transonic, supersonic, and hypersonic flows.
  • A solid background in heat transfer, thermal analysis and modeling, and conjugate heat transfer.
  • Deep understanding of fluid mechanics, compressible and incompressible flow, meshing, boundary conditions, and numerical methods.
  • Ability to bridge customers, engineering teams, and research teams.
  • Ability to work in a high-intensity, fast-paced startup environment with evolving priorities and tight deadlines.
Responsibilities
  • Design, preprocess, mesh, simulate, and post-process aerodynamics and thermal simulations for aerospace configurations at scale.
  • Develop systematic methods to design, mesh, and simulate hundreds or thousands of configurations across subsonic, transonic, supersonic, and hypersonic flow regimes.
  • Build data pipelines to train foundation models.
  • Guide product and artificial intelligence model development by working directly on research problems with the artificial intelligence team.
  • Work directly with clients to solve problems and define benchmark datasets, validation criteria, and workflows that demonstrate model accuracy against traditional simulations.
  • Generate high-quality simulation data at scale to improve foundation models.
  • Advise the artificial intelligence research team on compressible and incompressible flow, turbulence modeling, conjugate heat transfer, thermal analysis, shock interactions, and mesh design tradeoffs.
  • Lead technical customer conversations with customers and internal teams, translating between aerospace computational fluid dynamics and artificial intelligence.
Desired Qualifications
  • A Master's degree or higher in Aerospace Engineering, Mechanical Engineering, or a closely related field.
  • Experience with OpenFOAM.
  • Proficiency in programming languages such as Python or Java for simulation automation and data pipeline development.
  • Prior experience integrating artificial intelligence or machine learning models into simulation pipelines.
  • Industry experience in adjacent computational fluid dynamics domains such as automotive, defense, or energy.
  • Experience at a high-growth artificial intelligence startup from Seed to Series C.
  • Forward-deployed experience.

About the company

UniversalAGI operates as a forward-deployed AI lab that builds and deploys autonomous AI agents for enterprises and government organizations. Its platform provides the infrastructure, talent, and security needed to turn business concepts into production-ready AI applications that work with an organization’s most sensitive data. The system includes a suite of agents and automation tools and can often convert a concept into a working app in under an hour using natural language inputs, with emphasis on security, scale, and adaptability. The company differentiates itself by embedding expert AI teams with clients to deliver mission-critical, production-grade AI—often in secure or air-gapped environments for sensitive national data—and by combining no-code capabilities with enterprise-grade AI transformations. UniversalAGI aims to enable rapid, secure AI adoption across both private and public sectors, delivering autonomous, reliable AI solutions for complex, data-sensitive challenges.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

N/A

Get referred to UniversalAGI

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Precisely podcast coverage in February 2026 validates enterprise interest in agentic data integrity.
  • 2026 hiring for technical product and ML infrastructure roles signals active product commercialization.
  • Research posts in August 2026 show rapid model iteration and stronger technical storytelling.

What critics are saying

  • ZipRecruiter postings show multiple open roles, signaling a tiny, execution-heavy team.
  • If LIFT misses accuracy claims, engineering customers abandon it for established CFD vendors.
  • Dependence on founder-led enterprise sales makes UniversalAGI fragile before repeatable revenue.

What makes UniversalAGI unique

  • UniversalAGI positions itself as “OpenAI for Physics” for industrial simulation.
  • 2026 jobs cite LIFT architecture, replacing CFD solvers with seconds-fast physics outputs.
  • Its air-gapped, sensitive-data deployment focus targets defense, aerospace, and government buyers.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Vacation

Commuter Benefits

Meal Benefits

Team Building & Fun Activities

Wellness Program

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

↓ -10%

1 year growth

↓ -10%

2 year growth

↓ -10%
Forbes
Sep 17th, 2025
How Jared Kushner’s Bold Bets In The Middle East Made Him A Billionaire

Thanks to some good investments, new funding from his Middle Eastern backers and higher home values in south Florida, Ivanka Trump’s husband has joined his brother and his father-in-law in the three-comma-club.