SpaceX
Full Stack Software Engineer, Manufacturing Systems
About this role
SpaceX seeks a Full Stack Software Engineer to develop mission-critical manufacturing and operational software supporting Starship production, Starlink satellite operations, and launch vehicle systems. You'll own end-to-end software solutions across backend and frontend, collaborating with cross-functional teams to enable rapid innovation at scale.
What you'll do
- Develop highly reliable, production-grade software solutions used across SpaceX operations
- Create new applications that improve manufacturing and operational efficiency
- Build prototypes to validate design concepts and identify technical constraints
- Own complete software engineering lifecycle from design through deployment and monitoring
- Conduct deep dives into user problems to architect efficient, scalable solutions
- Participate in architecture reviews, design discussions, and code reviews with engineering teams
What they're looking for
- Full stack development across frontend and backend
- Object-oriented programming (Python, C#.NET, Go, Scala, or Java)
- Single-page application frameworks (React, Angular, or similar)
- Relational databases (PostgreSQL, SQL Server)
- Container orchestration (Docker, Kubernetes)
- CI/CD, version control, and deployment automation
- Streaming data systems (Kafka, RabbitMQ, ActiveMQ)
- System design, performance profiling, and optimization
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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
Likely interview questions
- Describe your experience building full-stack applications from concept to production—what were the key technical challenges you faced?
- Walk us through how you've optimized application performance in a high-throughput system. What profiling tools and techniques did you use?