Sr. Software Engineer (Flight Reliability)

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 $164k
This role $192k
$117k most similar roles pay here $237k

This role pays more than 71% of similar roles. Most pay $135,000–$193,000 — the shaded band above. At the midpoint, this role pays about $192k versus about $164k 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 (Flight Reliability)

The Sr. Software Engineer role at SpaceX’s Flight Reliability team involves developing mission-critical applications to enhance launch vehicle production and support Starlink's growth into a global Internet service. This full-stack position focuses on building single-page web applications, designing agentic AI systems, and implementing rigorous testing and deployment practices. Key responsibilities include creating features that improve engineering efficiency while maintaining high reliability standards across SpaceX’s fleet of vehicles. The ideal candidate has 5+ years of experience in full stack development, deep expertise in Docker, CI/CD pipelines, and LLM prompting for AI systems. This role demands a strong background in computer science or related fields with significant industry experience.

What you'll do

  • Design and develop single page web applications for mission-critical systems.
  • Implement rigorous testing, continuous integration, build, deployment, and monitoring processes.
  • Build agentic AI systems including LLM prompting, context retrieval, evaluation, and monitoring.
  • Enhance features to improve vehicle reliability while supporting engineering changes and risk mitigation.
  • Deploy and manage Docker containers in production environments for application scalability.

What we're looking for

  • Bachelor's degree in computer science, engineering, math, or a scientific discipline and 4+ years of professional experience OR 6+ years of software development experience
  • 5+ years of full stack development experience
  • Deep expertise in building single page web applications
  • Strong understanding of testing, continuous integration, build, deployment, and monitoring practices
  • Experience designing and deploying agentic AI systems including LLM prompting and evaluation
  • Production experience with Docker

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