Application Software Engineer, Data

SpaceX

Quick summary

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

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Salary context

How this pay compares to similar roles

Similar $155k

$113k most similar roles pay here $199k

This listing doesn't post a salary. Most similar roles pay $126,800–$183,962.

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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At a glance

TL;DR · Application Software Engineer, Data

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As an Application Software Engineer at SpaceX, you will join the data-focused team responsible for developing mission-critical applications that support rocket launches and factory production. Your daily tasks include building highly reliable and scalable data analysis libraries, systems, and pipelines using Python Pandas, SciPi, PyTorch, PostgreSQL, and Microsoft .NET. You will also apply computer vision techniques with OpenCV to solve real-world problems within the aerospace industry. This role involves deep technical dives into complex engineering challenges and collaboration with domain experts across SpaceX’s diverse projects, from rocket launches to Starlink satellite operations.

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 systems to analyze real-time telemetry from Starlink satellites.
Build data pipelines to process factory production workloads and rocket launch data.
Apply machine learning techniques to historical and point-in-time data analysis.
Collaborate with domain experts to solve complex 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.