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Spacex Computer Science Jobs (NOW HIRING)

SpaceX

Application Software Engineer

Redmond, WA · On-site

Required : • Bachelor's degree in computer science, engineering, math, or scientific discipline ... SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch ...

SpaceX

Application Software Engineer

Hawthorne, CA · On-site

Required : • Bachelor's degree in computer science, engineering, math, or scientific discipline ... SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch ...

SpaceX

Software Engineer, Data (Starlink)

Hawthorne, CA · On-site

$115K - $139K/yr

Required : • Bachelor's degree in computer science, data science, engineering, math, physics, or ... SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch ...

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Spacex Computer Science information

What are the key skills and qualifications needed to thrive in the Spacex Computer Science position, and why are they important?

To thrive in a SpaceX Computer Science role, you need a strong background in computer science fundamentals, coding proficiency in languages like Python, C++, or Java, and a relevant degree such as a BS or MS in Computer Science or a related field. Familiarity with specialized tools like Git, embedded systems, real-time operating systems, and experience with large codebases or aerospace-specific software frameworks is highly valued. Top candidates demonstrate strong problem-solving skills, adaptability, and effective communication within multidisciplinary, fast-paced teams. These skills are vital to develop and maintain software that is mission-critical to SpaceX’s aerospace projects, where real-time performance, safety, and innovation are paramount.

What kinds of software projects do computer science professionals typically work on at SpaceX?

Computer science professionals at SpaceX are often involved in developing sophisticated software for spacecraft control, launch automation, mission planning, and data analysis systems. This work may include building and maintaining applications for flight operations, telemetry processing, simulation tools, and safety-critical embedded systems. Team members collaborate closely with engineers from various departments, such as avionics, propulsion, and operations, to ensure software meets rigorous requirements. These projects require innovation, meticulous attention to detail, and the ability to solve complex engineering challenges in a dynamic environment.

What is a SpaceX Computer Science job?

A SpaceX Computer Science job involves developing software and systems that support missions, rockets, satellites, and spacecraft operations. Engineers in this role work on real-time systems, automation, data analysis, and simulations to enhance performance and reliability. They collaborate with other engineering teams to ensure software integrates seamlessly with hardware. Strong programming skills, problem-solving ability, and experience in embedded systems or aerospace applications are often required.

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Spacex Computer Science jobs near you
Infographic showing various Spacex Computer Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.
Sr. Software Engineer (Data Science/Data Engineering)

Sr. Software Engineer (Data Science/Data Engineering)

SpaceX

Bastrop, TX

$113K - $136K/yr

Other

Posted 13 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

7th of 61 rated aerospace companies

Job description

SR. SOFTWARE ENGINEER (DATA SCIENCE/DATA ENGINEERING)

The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flights as well as systems that allow Starlink to grow into a worldwide fast, reliable internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support. 

Our team is creating systems to analyze data from events like rocket launches or factory production workloads to always-on telemetry from the Starlink satellite constellation with point-in-time analysis, historical analysis and machine learning. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. 

Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce. 

RESPONSIBILITIES: 

  • Develop highly reliable and scalable data analysis libraries, systems, and data pipelines, to empower engineers across SpaceX
  • Create new applications that improve how the business at SpaceX operates
  • Collaborate with peers on architecture, design, and code reviews
  • Build prototypes to prove out key design concepts and quantify technical constraints
  • Own all aspects of software engineering and product development
  • Deep dive into engineering problems and involve in corporation/coordination with domain experts

BASIC QUALIFICATIONS: 

  • Bachelor's degree in computer science, engineering, math, or scientific discipline and 5+ years of professional experience in software development; OR 7+ years of professional experience building software in lieu of a degree
  • 3+ years of professional experience in full-stack development

PREFERRED SKILLS AND EXPERIENCE: 

  • 3+ years of professional experience in data engineering or data science
  • 2+ years of hands-on experience applying ML techniques (ex: CNNs, RNNs) to datasets
  • Programming experience in Python, C#,or similar languages
  • Experience working withdata analysis libraries such as Python Pandas
  • Experience with machine learning libraries like SciPi and PyTorch
  • Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar
  • Experience with relational databases such as PostgreSQL
  • Experience applying computer vision libraries such as OpenCV and Ultralytics to real-world problems
  • Goodunderstanding of machine learning algorithms, linear algebra, calculus, probability, statistics, and optimization methods. 
  • Good understanding of version control, testing, continuous integration, build, deployment and monitoring
  • Some front-end experience in Angular, React, or similar JavaScript framework

ADDITIONAL REQUIREMENTS: 

  • You may be asked to work extended hours/weekends dependent on launch cadence
  • Must be willing to travel when needed

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