Senior ML Engineer - Surrogate Models for Aerospace Sims

Anduril; Costa Mesa (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Anduril Industries is seeking a Machine Learning Engineer to own the surrogate modeling stack for Air Dominance & Strike programs. You will design, train, and deploy models that accelerate CFD, FEA, and aeroelastic simulations, collaborating with aero, structures, and thermal engineers.

You will drive end-to-end ML production, from data pipelines to deployment, exploring novel physics ML techniques and contributing to fast, reliable engineering decisions.

Qualifications

• BS, MS, or PhD in aerospace, thermal, mechanical, or electrical engineering, or ML/AI with engineering foundation.

Responsibilities

• Own the surrogate modeling stack for accelerating physics simulations in air vehicle design.
• Develop state-of-the-art neural architectures for engineering physics and uncertainty quantification.

Skills

Python

ML in production

Physics ML

GNNs

Surrogate modeling

Education

BS/MS/PhD in engineering or ML/AI

Tools

MATLAB

Job description

Anduril Industries is seeking a Machine Learning Engineer to own the surrogate modeling stack for Air Dominance & Strike programs. You will design, train, and deploy models that accelerate CFD, FEA, and aeroelastic simulations, collaborating with aero, structures, and thermal engineers.

You will drive end-to-end ML production, from data pipelines to deployment, exploring novel physics ML techniques and contributing to fast, reliable engineering decisions.