This role pays less than
92%
of similar roles. Most pay
$162,000–$243,721
— the shaded band above.
At the midpoint, this role pays about
$135k
versus about
$203k
for comparable roles.
Based on 240 similar postings.
Employer
About SpaceX
SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.
SpaceX currently has
680 open roles
on FindRole.
Listed pay typically runs
$130,000–$165,000
across 442 roles with salary data.
ML Engineer, Surrogate Modeling (Vehicle Engineering) joins the AI for Vehicle Engineering team to develop high-performance surrogate models that solve complex physics and engineering problems for launch vehicles and spacecraft. The role involves building, training, and deploying production-grade AI models to accelerate critical simulation workflows including FEA, CFD, thermal, and structural analysis. You will design neural architectures, build scalable data pipelines for high-fidelity results, and implement techniques for uncertainty quantification and inverse problems like geometry optimization. Key technical requirements include proficiency in Python, deep learning frameworks such as PyTorch, TensorFlow, or JAX, and experience with specialized architectures like Fourier Neural Operators, MeshGraphNet, or physics-informed neural networks. The work focuses on replacing traditional simulation methods with machine learning to accelerate engineering analysis, development, testing, and mission operations for aerospace hardware.
Reinforcement Learning
Python
C++
Deep Learning
GPU Clusters
Kubernetes
SLURM
High-Performance Computing
Data Pipelines
Simulation
Closed-Loop Simulation
PPO
GRPO
NuRec
Cosmos World Model