Full Stack Software Engineer, Data

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. FULL STACK SOFTWARE ENGINEER, DATA 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, 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 PREFERRED SKILLS AND EXPERIENCE: Programming experience in Python, C#, or similar languages Experience working with data 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 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 ADDITIONAL

and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, vete

REQUIREMENTS

: Willing to work extended hours and weekends when needed Willing to travel when needed ITAR

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