Sr. Software Engineer (Vehicle Engineering)

SpaceX

Quick summary

Work type
On-site
Location
Hawthorne, CA
Salary
$160,000–$225,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k
This role $192k
$119k most similar roles pay here $236k

This role pays more than 69% of similar roles. Most pay $140,739–$202,675 — the shaded band above. At the midpoint, this role pays about $192k versus about $172k 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.

Most-posted roles

View all roles at SpaceX

At a glance

TL;DR · Sr. Software Engineer (Vehicle Engineering)

Join the Artificial Intelligence Software Engineering team at SpaceX as a Senior Software Engineer, focusing on developing AI technologies to accelerate engineering for launch vehicles and spacecraft. You will design and train highly reliable, scalable AI/ML models to empower engineers across all departments, build agentic AI systems, and optimize large-scale machine learning training pipelines. Utilizing Python and modern ML frameworks like PyTorch and TensorFlow, you will work on complex projects involving reinforcement learning, fine-tuning LLMs, and computer vision tasks. Your efforts will contribute to the development of next-generation AI applications that transform how engineering data is accessed and used at SpaceX, supporting ambitious goals such as rapid reuse of launch vehicles and missions to Mars.

What you'll do

  • Design and train highly reliable, scalable AI/ML models for SpaceX engineering.
  • Develop agentic AI systems to perform complex engineering tasks efficiently.
  • Build large-scale ML training pipelines for next-generation AI applications.
  • Fine-tune foundation models (LLMs, vision models) for high-impact use cases.
  • Create production-grade AI tools for data analysis and automated decision-making.

What we're looking for

  • 5+ years experience in AI software engineering with focus on model training and fine-tuning
  • Expert understanding of LLM transformer architectures, including pre-training and supervised fine tuning
  • Proven track record training large language models (LLMs) and other foundation models at scale
  • Deep expertise with modern ML frameworks like PyTorch, TensorFlow, JAX
  • Experience designing and running large-scale ML training pipelines on GPU clusters
  • Strong foundation in statistics, machine learning theory, deep learning architectures, optimization algorithms

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