Full Stack Software Engineer, Data

FULL STACK SOFTWARE ENGINEER, DATA

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 Space

X to move towards our goals at a rapid pace. The success of the missions at Space

X depends on the software that you and your team produce.

• 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 Space
  
  X 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

• Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
• 1+ years of experience in full stack development, software engineering, data engineering, or data science

• Programming experience in Python, C#, or similar languages
• Experience working with data analysis libraries such as Python Pandas
• Experience with machine learning libraries like Sci Pi and Py Torch
• Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, Power
  
  BI or similar
• Experience with relational databases such as PostgreSQL
• Experience building web API's and applications using Microsoft .NET
• Experience applying computer vision libraries such as OpenCV and Ultralytics to real-world problems
• Good understanding of version control, testing, continuous integration, build, deployment and monitoring
• Some front-end experience in Angular, React, or similar JavaScript framework
• Good understanding of statistics, machine learning algorithms and frameworks

• Willing to work extended hours and weekends when needed
• Willing to travel when needed

• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
  * 1157, or (iv) Asylee under 8 U.S.C.
  * 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Space

X is an Equal Opportunity Employer; employment with Space

X is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of Space

X's affirmative action plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to