Aerospace Simulation Engineer

San Francisco | Work Directly with CEO & founding team | Report to CEO | OpenAI for Physics | 5 Days Onsite

Location:

Onsite in San Francisco

Compensation:
Competitive Salary + Equity

UniversalAGI is building OpenAI for Physics
. AI startup based in San Francisco and backed by Elad Gil (#1 Solo VC), Eric Schmidt (former Google CEO), Prith Banerjee (ANSYS CTO), Ion Stoica (Databricks Founder), Jared Kushner (former Senior Advisor to the President), David Patterson (Turing Award Winner), and Luis Videgaray (former Foreign and Finance Minister of Mexico). We’re building foundation AI models for physics that enable end-to-end industrial automation from initial design through optimization, validation, and production.

We're building a high-velocity team of relentless researchers and engineers that will define the next generation of AI for industrial engineering. If you're passionate about AI, physics, or the future of industrial innovation, we want to hear from you.

As a founding Aerospace Simulation Engineer, you'll be in the arena from day one, building the future of AI for physics simulation with your own hands. This is your chance to take everything you've learned across the full spectrum of the aerospace flow regime – from subsonic to hypersonic – and use it to build foundation AI models that will transform how the entire industry works.

You'll work directly with the CEO and founding team to shape our product around the real pain points you've faced in your career: the tedious preprocessing, the manual mesh iterations, the endless parameter sweeps.

• Design, preprocess, mesh, simulate, and post-process aerodynamics and thermal simulations for aerospace configurations at unprecedented scale and speed

• Come up with creative ways to design, mesh, and simulate hundreds or thousands of configurations systematically across flow regimes (subsonic, transonic, supersonic, hypersonic), building the data pipelines that will train our foundation models

• Guide the development of our product and our revolutionary new AI models for physics by working directly on research problems with our AI team, bridging the gap between traditional CFD and cutting-edge ML

• Work directly with clients to solve their problems and define benchmark datasets, validation criteria, and workflows that prove our models can match or exceed traditional simulation accuracy

• Generate high-quality simulation data at scale, every simulation you run directly improves our foundation models

• Advise the AI research team on the nuances that matter: compressible vs. in compressible flow, turbulence modeling across flow regimes, conjugate heat transfer, thermal analysis, shock interactions, and mesh design tradeoffs

• Lead technical customer conversations with customers and internal teams, translating between the world of aerospace CFD and the world of AI

This is a role for someone who's ready to solve some of humanity's hardest problems, push past the limitations of traditional CFD, and build something that will define the next generation of industrial engineering.

• 3-5+ years of industry hands-on experience running aerospace CFD simulations, including preprocessing, simulation, post processing, and design iteration.

• Strong experience with Star-CCM+ as a primary solver

• Experience across the flow regime spectrum: subsonic, transonic, supersonic, and hypersonic flows.

• Solid background in heat transfer, thermal analysis/modeling, and conjugate heat transfer (CHT)

• Deep understanding of fluid mechanics, compressible and in compressible flow, meshing, boundary conditions, and numerical methods

• Strong communicator capable of bridging customers, engineering and research teams.

• Outstanding execution velocity and delivery

• Excep…