SpaceX
Software Engineer, Test Engineering and Operations
About this role
SpaceX seeks a Python and Linux-proficient software engineer to develop and maintain data-driven systems supporting spacecraft and vehicle hardware checkout, testing, and manufacturing operations. You'll bridge physical instrumentation with test operations, building reliable software that streamlines workflows and reduces operational risk for the mission to enable human life on Mars.
What you'll do
- Develop and maintain Python-based analysis tools, data pipelines, and automated testing systems for hardware checkout and vehicle processing
- Design and deploy software that interfaces with physical systems and aerospace instrumentation such as sensors and transducers
- Implement and deploy solutions using modern CI/CD pipelines in Linux environments
- Evaluate existing processes and implement scalable, automated alternatives to improve efficiency and reliability
- Create interdisciplinary solutions that optimize engineering workflows and reduce risk in hazardous operations
- Participate in architecture, design, and code reviews while owning the full lifecycle of developed software
What they're looking for
- Python development (1+ years professional experience)
- Linux system administration and shell scripting
- CI/CD pipeline design and deployment
- Data handling and SQL/database technologies
- Hardware instrumentation and sensor integration
- Object-oriented software design principles
- Debugging and performance optimization
- Networking protocols and infrastructure
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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 developing Python applications that interact with hardware or physical systems—what challenges did you encounter?
- How have you approached learning new technologies quickly in a dynamic environment, and can you give a specific example?