Senior ML Engineer - Physics Surrogate Modeling

Anduril Industries; Costa Mesa (CA); On-site; USD 220,000 - 292,000; Full time

Benefits offered by this job

Equity grants

Comprehensive benefits

Competitive compensation

Job summary

Anduril Industries in Costa Mesa, CA is seeking a Machine Learning Engineer to apply PhysicsML to accelerate physics simulations for air dominance and strike programs. You will own the surrogate modeling stack and collaborate with aerodynamicists, structures and thermal engineers.

You will train, deploy surrogate models, design neural architectures, build data pipelines, optimize inference, and mentor non-ML engineers while pursuing advanced physics-aware ML research.

Qualifications

• BS, MS, or PhD in aerospace, thermal, mechanical, electrical engineering, or in ML/AI with engineering foundation.
• 3+ years of ML production experience on large-scale engineering data.
• PhysicsML expertise with surrogate architectures and CFD/FEA/thermal experience.
• Proficiency in Python and MATLAB; PyTorch, TensorFlow; NVIDIA NeMo/Modulus.
• Experience with Linux, GPU accelerators, distributed training.
• Clearance: U.S. Person eligible for Top Secret clearance.

Responsibilities

• Own the Surrogate Modeling Stack: end-to-end design, training, and deployment of production surrogate models for CFD, FEA, thermal, and aeroelastic workflows.
• Develop state-of-the-art neural architectures for engineering physics, including uncertainty quantification and active learning for inverse problems.
• Build robust data and training pipelines to extract and sanitize large solver outputs.
• Optimize inference for design loops and integrate predictions into existing tooling used by engineers.
• Collaborate with domain engineers and mentor non-ML staff, staying current with PhysicsAI research.

Skills

PhysicsML

Surrogate models

Python

MATLAB

PyTorch

TensorFlow

NVIDIA NeMo (Modulus)

GNNs

Transolver

GeoTransolver

Uncertainty quantification

Active learning

Inverse problems

GPU acceleration

Distributed training

U.S. Top Secret clearance

Education

BS/MS/PhD in aerospace, thermal, mechanical, or electrical engineering, or in ML/AI/data science with an engineering foundation

Tools

Python

MATLAB

PyTorch

TensorFlow

NVIDIA PhysX NeMo (Modulus)

Linux

Docker

Weights & Biases

AWS S3

Lambda

SageMaker

Job description

Anduril Industries in Costa Mesa, CA is seeking a Machine Learning Engineer to apply PhysicsML to accelerate physics simulations for air dominance and strike programs. You will own the surrogate modeling stack and collaborate with aerodynamicists, structures and thermal engineers.

You will train, deploy surrogate models, design neural architectures, build data pipelines, optimize inference, and mentor non-ML engineers while pursuing advanced physics-aware ML research.