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SpaceX

Software Engineer

Cape Canaveral, FLmidAdded today

About this role

SpaceX seeks a Software Engineer to develop mission-critical applications supporting launch vehicle production, Starship manufacturing systems, and Starlink's satellite network management. You'll own full-stack projects with high reliability requirements, collaborating across teams to build systems that directly enable SpaceX's operations and goals.

What you'll do

  • Develop highly reliable, mission-critical software solutions deployed across SpaceX operations
  • Create new applications that improve manufacturing, launch, and satellite network efficiency
  • Build prototypes to validate design concepts and quantify technical constraints
  • Own all phases of software engineering from design through production deployment
  • Analyze user problems deeply to architect and implement efficient solutions
  • Participate in team code reviews, architecture discussions, and design decisions

What they're looking for

  • Full-stack development across front-end and back-end
  • Object-oriented programming (Python, C#.NET, Go, Scala, Java, or similar)
  • Single-page application development (Angular, React, or equivalent)
  • Distributed systems and stream data processing (Kafka, RabbitMQ, ActiveMQ)
  • Containerization and orchestration (Docker, Kubernetes)
  • Database design and optimization (PostgreSQL, SQL Server)
  • CI/CD pipelines, version control, and build systems (Bazel, Gradle, Make)
  • Performance profiling, system design, and UNIX/Linux administration
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SpaceX

SpaceX develops advanced spacecraft and satellite systems, including the Starshield government satellite constellation and Starfall re-entry cargo capsule for global delivery. The company is hiring engineers in avionics integration, software test automation, mechanical design, and hardware reliability to validate flight-critical systems and ensure mission success.

Website
spacex.com
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Likely interview questions

  • Walk us through a full-stack project you owned end-to-end—what was your architecture and how did you handle scalability?
  • Describe your experience with stream data processing. How would you design a system to manage concurrent data from many always-on assets?
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