Software Engineer (Starship)

SpaceX•Hawthorne, CA
•$125,000 - $195,000•Onsite

About The Position

The Software Engineer will join SpaceX’s Starship Supply Chain Data and Operations Engineering team, which builds data pipelines, improves processes, and develops tools and automation to inform and accelerate supply chain operations. The team supports Starfactory and the goal of enabling thousands of Starship launches per year, working across planning, procurement, supplier development, quality, material flow, and inventory. The role owns challenging problems end-to-end, from identifying needs and designing solutions through implementation, adoption, monitoring, and iteration. The engineer will develop automations, applications, and data pipelines; transform data and operational metrics to support decision-making across the organization; and collaborate with central software teams on the software ecosystem, requirements, roadmaps, and implementation. Aerospace experience is not required. The position is based onsite in Hawthorne, California; remote work is not considered. Travel of up to 10% may be required, and extended hours and/or weekends may be needed to meet major milestones. Compensation is listed at $125,000–$160,000 for Level 1 and $145,000–$195,000 for Level 2, with actual level and salary determined case by case. The total rewards package may include long-term incentives, discretionary bonuses, an employee stock purchase plan, medical, vision and dental coverage, a 401(k), disability and life insurance, paid parental leave, vacation, paid holidays, sick leave, discounts, and other perks. Applicants must meet the stated U.S. export-control eligibility requirements or be eligible to obtain the required authorizations.

Requirements

  • Bachelor’s degree in computer science, data science, engineering, mathematics, physics, or another scientific discipline, or at least 2 years of professional experience building software or data pipelines in lieu of a degree.
  • At least 1 year of experience in data engineering, data science, full-stack development, or software engineering through a project team, research, internships, and/or professional experience.
  • Must be able to work extended hours and/or weekends as needed to meet major milestones.
  • Must be able to travel; up to 10% work-week travel may be required to other sites.
  • Must meet U.S. Government export-control eligibility requirements or be eligible to obtain the required authorizations.
  • Must work onsite in Hawthorne, California; remote work is not considered.

Nice To Haves

  • Experience managing UNIX-like operating systems via the command line.
  • Strong proficiency with SQL and experience designing and querying relational databases.
  • Experience building and maintaining data pipelines and ETL processes.
  • Experience with data orchestration tools such as Airflow, Prefect, or dbt.
  • Programming experience in Python, C#, or similar languages.
  • Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch.
  • Experience with data visualization and business intelligence tools such as Power BI, Grafana, Metabase, or Tableau.
  • Experience developing web apps, dashboards, or self-service platforms for non-technical stakeholders.
  • Experience with version control (Git), CI/CD, testing, and monitoring.
  • Strong understanding of data quality, statistical analysis, and data visualization best practices.

Responsibilities

  • Own automations, applications, and data pipelines end-to-end.
  • Manage projects throughout their lifecycle, including problem identification, solution ideation, architecture, implementation, adoption, monitoring, and iteration.
  • Query, clean, and transform data to inform and focus supply chain operations at all organizational levels, from individual contributors to senior executives.
  • Collaborate with central software teams on a shared software ecosystem vision, project requirements, roadmaps, and implementation details.
  • Develop, standardize, and continuously improve key process indicators and other operational metrics.

Benefits

  • Potential long-term incentives in the form of company stock or long-term cash awards.
  • Potential discretionary bonuses.
  • Ability to purchase additional stock at a discount through an Employee Stock Purchase Plan.
  • Medical, vision, and dental coverage.
  • 401(k) retirement plan.
  • Short- and long-term disability insurance.
  • Life insurance.
  • Paid parental leave.
  • Various discounts and perks.
  • May accrue 3 weeks of paid vacation.
  • 10 or more paid holidays per year.
  • Paid sick leave pursuant to Company policy.
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