Relativity Space
Full Stack Software Engineer I
About this role
Join Relativity Space's Factory Platform team as a Full Stack Software Engineer I, building applications that power design and manufacturing operations for the Terran R rocket. You'll develop end-to-end solutions spanning data pipelines, back-end systems, and user-facing dashboards that directly support engineers and operators in automating workflows from material intake through launch.
What you'll do
- Build responsive front-ends and scalable back-ends for factory operations tools
- Design and implement data pipelines processing telemetry from test stands and manufacturing systems
- Collaborate with design, manufacturing, and test teams to understand workflows and automate manual processes
- Participate in full software development lifecycle including requirements gathering, design, implementation, testing, and deployment
- Create dashboards and analytics tools that give engineers real-time visibility into manufacturing operations
- Follow agile practices, write quality code, and iterate based on end-user feedback
What they're looking for
- Full-stack web development (front-end and back-end)
- Data pipeline design and implementation
- Software design and architecture
- Agile development and continuous integration/deployment
- Testing and quality assurance practices
- Cross-functional collaboration and requirements gathering
- Problem-solving and technical troubleshooting
- Version control and modern development workflows
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Relativity Space
Relativity Space develops the Terran R reusable rocket and is hiring engineers to design, manufacture, and launch it. The company seeks Manufacturing Engineers, Launch Integration Engineers, Vehicle Structures Engineers, and Avionics Hardware Engineers to work on critical flight systems, production processes, and launch operations at Cape Canaveral.
- Website
- relativityspace.com
Likely interview questions
- Describe your experience building full-stack applications from requirements to production deployment.
- How have you approached designing data pipelines that process high-volume telemetry or sensor data?