Full Stack Software Engineer, Data

SpaceX

Quick summary

Work type: On-site
Location: Starbase, TX
Posted: today

Market check

Salary context

How this pay compares to similar roles

Similar $170k

$118k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $127,821–$211,200.

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 · Full Stack Software Engineer, Data

Apply Now Log in to save

Join the application software team at SpaceX as a Full Stack Software Engineer, Data, where you will play a crucial role in developing mission-critical systems for rocket launches and Starlink satellite operations. Your daily tasks include building highly reliable data analysis libraries and pipelines to support engineering teams across SpaceX, integrating real-time telemetry from satellites with historical datasets using machine learning techniques. You’ll work with Python Pandas, SciPi, PyTorch, PostgreSQL, Microsoft .NET, and OpenCV/Ultralytics to create scalable solutions that enable rapid product development and deployment at a global scale.

Skills

Python Pandas SciPi PyTorch PostgreSQL .NET OpenCV Ultralytics

What you'll do

Develop highly reliable and scalable data analysis libraries for SpaceX.
Create mission-critical applications used across SpaceX to accelerate production and flights.
Analyze real-time telemetry from the Starlink satellite constellation using machine learning.
Build web APIs and applications using Microsoft .NET for internal SpaceX use.
Apply computer vision techniques to solve real-world engineering problems.

What we're looking for

Experience with data analysis libraries such as Python Pandas and machine learning libraries like SciPi, PyTorch.
Proficient in building web APIs and applications using Microsoft .NET.
Knowledge of relational databases including PostgreSQL.
Applied computer vision techniques using OpenCV and Ultralytics to solve real-world problems.
Willingness to travel for work when necessary.