Tuesday, October 21, 2014

Propulsion Software Engineer | SpaceX

 

Engineer The Future

 

SpaceX is a U.S.-based advanced technology company founded by residing CEO and CTO, Elon Musk. Founded in 2002, SpaceX builds rockets and spacecraft from the ground up, including cutting edge electronics, software, vehicle structures, and engine systems. The Falcon Launch Vehicle and Dragon Spacecraft programs are some of the most ambitious engineering systems in the world, designed to support our ultimate goals of aviation-like spaceflight capability and making humanity a multi-planet species. Our team is made up of more than 3,000 SpaceXers located across our Hawthorne, California headquarters; and other facilities in Florida, Texas, and Washington, DC.

 

Advance the course of human history and pave the ways to Mars

This is SpaceX. We are not like most companies. Our goal is to do what has never before been done--enabling mankind to live on other planets. We push the boundaries of what is currently possible, and understand it takes rare individuals to help us make this happen. We celebrate our successes, and each other. We seek future colleagues with a rare mix of drive, passion, scrappiness, intelligence, and curiosity to seek what’s beyond the stars.

Playing a direct role in advancing the course of human history is no small endeavor. Join us, and find your place in the SpaceX legacy.

Propulsion Software Engineer

 

Overview

SpaceX is building systems to revolutionize the way we do rocket data analysis and review.  Successful candidates will implement state-of-the-art machine learning algorithms and work side-by-side with the engine R&D team developing intelligent, easy-to-use tools to accelerate the development process.

 

Responsibilities

  • Develop machine learning algorithms to automate manually-intensive processes
  • Develop new tools, capabilities, and infrastructure to improve how the Propulsion Department conducts data analysis and review
  • Provide insight and develop novel algorithms for statistical analyses of empirical and simulated engine data
  • Deliver production quality code against an aggressive timeline in a small team environment

 Basic Qualifications

  • MS in Computer Science, Statistics, Electrical Engineering, or Physics
  • Excellent Matlab and Python skills (3+ years experience)
  • Background in data analysis and supervised/unsupervised machine learning
  • Ability to work well in a collaborative small-team environment
  • Willingness and ability to learn in a fast-paced environment

   Preferred Skills

  • PhD in Computer Science, Statistics, Electrical Engineering, or Physics
  • 2+ years applied experience solving real world analysis problems with machine learning
  • A background in database development and management
  • Familiar with Agile software development techniques, particularly Test-Driven Development and Continuous Integration
  • Experienced with object-oriented programming, particularly C++

 

ITAR Requirements:

  • To conform to U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about ITAR here.

 

SpaceX is an Equal Opportunity Employer; employment with SpaceX 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 SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department at (310) 363-6000.

 

Connect With Us

 

Want to learn more about SpaceX career opportunities and culture? Be sure to connect with our recruiting team on social media: Twitter, Facebook, LinkedIn, Tumblr, and SpaceX Careers.

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