Software Engineer, Engineering Simulation & Automation (Vehicle Engineering)

SpaceX

Quick summary

Work type
On-site
Location
Hawthorne, CA
Salary
$125,000–$145,000 / yr
Posted
today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $135k
$116k most similar roles pay here $207k

This role pays less than 73% of similar roles. Most pay $135,000–$196,750 — the shaded band above. At the midpoint, this role pays about $135k versus about $166k 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 604 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 440 roles with salary data.

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View all roles at SpaceX

At a glance

TL;DR · Software Engineer, Engineering Simulation & Automation (Vehicle Engineering)

Join the AI for Vehicle Engineering team as a Software Engineer, focusing on developing automated simulation tools and pipelines to accelerate engineering processes for SpaceX's launch vehicles and spacecraft. You will design scalable automation systems that generate high-quality training datasets for surrogate models at scale, working closely with domain experts to identify and resolve bottlenecks through custom scripting against APIs like ANSA Python API or Star-CCM+ Java/Python macros. Utilize commercial and open-source simulation tools across FEA, CFD, thermal, and structural domains to automate geometry parameterization, meshing, solving, post-processing, and data extraction at scale. Collaborate with ML engineers to ensure datasets meet AI surrogate model requirements while enhancing engineering productivity through general automation tool development. Essential skills include proficiency in Python for scientific computing, experience with HPC environments, and familiarity with version control systems and CI/CD pipelines.

What you'll do

  • Develop and maintain automated simulation pipelines for AI surrogate model training datasets.
  • Identify engineering bottlenecks and build custom tools to improve productivity and reduce manual effort.
  • Create scripts using APIs like ANSA Python API, Star-CCM+, Abaqus, or equivalent tools.
  • Build parametric workflows for geometry variation, meshing, batch simulation execution, and result extraction.
  • Orchestrate large-scale simulation campaigns on HPC clusters with job schedulers.

What we're looking for

  • 1+ year of software development experience
  • Hands-on experience with at least one simulation domain (CFD, FEA, thermal, structural analysis)
  • Experience scripting simulation APIs like ANSA Python API or Star-CCM+ automation
  • Familiarity with HPC environments and job schedulers such as Slurm
  • Strong proficiency in Python for scientific computing and automation
  • Understanding of version control systems and continuous integration practices

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