Software Engineer (Starship)

Summary

SpaceX is actively developing technologies to enable human life on Mars. The Software Engineer (Starship) will be responsible for building automations, applications, and data pipelines that support the supply chain planning and procurement processes, collaborating with teams to drive efficiency and improvement in operations metrics.

Responsibilities

• Be the extreme owner of automations, applications, and data pipelines that support supply chain planning, procurement, reliability, and material flow
• Own projects from problem identification, solution ideation, architecting, implementation, and adoption
• Query, clean, and transform data to inform and drive all levels of supply chain—from individual contributors to senior executives
• Collaborate with central software teams to on a shared vision for the software ecosystem, requirements, roadmaps, and implementation
• Develop, standardize, and continuously improve key process indicators and other operations metrics

Skills

• Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software or data pipelines in lieu of a degree
• 1+ years of experience doing data engineering, data science, full stack development, or software engineering via 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
• This position is based in Hawthorne, CA and requires being onsite - remote work not considered
• 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
• 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 (e.g., 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 (e.g., 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

Qualifications

Must Haves

• Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software or data pipelines in lieu of a degree
• 1+ years of experience doing data engineering, data science, full stack development, or software engineering via 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
• This position is based in Hawthorne, CA and requires being onsite - remote work not considered
• 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

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 (e.g., 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 (e.g., 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

Benefits

• May also be eligible for 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
• Access to comprehensive medical, vision, and dental coverage
• Access to a 401(k) retirement plan
• Short and long-term disability insurance
• Life insurance
• Paid parental leave
• Various other discounts and perks
• 3 weeks of paid vacation
• Eligible for 10 or more paid holidays per year
• Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law