Senior Application Software Engineer, Data Analytics

SpaceX

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Work type
On-site
Location
Bastrop, TX
Posted
2 days ago

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How this pay compares to similar roles

Similar $173k
$125k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $134,358–$211,200.

Based on 240 similar postings.

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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 656 open roles on FindRole.

Listed pay typically runs $130,000–$160,000 across 482 roles with salary data.

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At a glance

TL;DR · Senior Application Software Engineer, Data Analytics

As a Sr. Application Software Engineer on SpaceX’s data analytics team, you will develop mission-critical applications and systems to analyze data from rocket launches and factory production workloads, as well as telemetry from the Starlink satellite constellation. Your daily tasks include building highly reliable and scalable data analysis libraries, pipelines, and systems using Python Pandas, SciPi, PyTorch, PostgreSQL, and OpenCV. You will also apply machine learning techniques such as CNNs and RNNs to real-world problems, collaborating closely with domain experts across SpaceX’s operations. This role requires a strong background in full-stack development, data engineering, and hands-on experience with computer vision libraries and ML algorithms.

What you'll do

  • Develop highly reliable and scalable data analysis libraries for SpaceX.
  • Create systems to analyze real-time telemetry from Starlink satellite constellation.
  • Implement historical and point-in-time data analysis using machine learning techniques.
  • Work on deep dives into complex engineering problems with domain experts.
  • Apply computer vision libraries like OpenCV to solve real-world challenges.

What we're looking for

  • 3+ years of professional experience in full-stack development
  • 3+ years of professional experience in data engineering or data science
  • Hands-on experience applying machine learning techniques to datasets
  • Experience with data analysis and machine learning libraries (Python Pandas, SciPi, PyTorch)
  • Understanding of machine learning algorithms, linear algebra, calculus, probability, statistics, and optimization methods
  • Experience working with relational databases such as PostgreSQL

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