Aerospace Simulation Engineer

UniversalAGI

2d•Onsite

About The Position

UniversalAGI is building OpenAI for Physics. AI startup based in San Francisco and backed by notable investors. 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. 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.

Requirements

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 incompressible flow, meshing, boundary conditions, and numerical methods
Strong communicator capable of bridging customers, engineering and research teams.
Outstanding execution velocity and delivery
Exceptional creativity, problem-solving ability, ambition, and attention to detail.
Comfortable working in high-intensity, fast-paced startup environments with evolving priorities and tight deadlines.

Nice To Haves

Master’s degree (or higher) in Aerospace Engineering, Mechanical Engineering, or a closely related field.
Experience with OpenFOAM.
Proficiency in programming languages (e.g., Python, Java) for simulation automation and data pipeline development.
Prior experience integrating AI / ML models into simulation pipelines.
Industry experience in adjacent CFD domains (automotive, defense, energy).
Experience at high-growth AI startups (Seed to Series C).
Forward deployed experience.

Responsibilities

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. incompressible 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