SpaceX
Software Engineer, Telemetry (Starlink)
About this role
SpaceX seeks a Software Engineer for Starlink's telemetry platform to design and operate a distributed system handling petabyte-scale data ingestion, processing, and querying. You'll own end-to-end solutions that support satellite operations and improve global broadband connectivity for millions of users.
What you'll do
- Design and build a highly reliable, distributed telemetry platform for petabyte-scale data processing
- Collaborate with engineers on architecture reviews and technical design decisions
- Partner with satellite and rocket teams to translate mission needs into software solutions
- Own the complete software and hardware stack end-to-end
- Analyze business problems and apply first-principles thinking to find efficient solutions
- Operate and maintain systems in production environments
What they're looking for
- Full-stack software or data engineering development
- Distributed systems design and optimization
- C#, Java, or similar programming languages
- Kubernetes and containerized deployment
- Linux administration and version control
- CI/CD pipelines, testing, and monitoring systems
- Large-scale data processing and querying
- Problem-solving and collaborative development
Benefits
- Comprehensive medical, vision, and dental coverage
- 401(k) retirement plan with company match eligibility
- Long-term incentives including company stock
- 3 weeks paid vacation and 10+ paid holidays annually
- Paid parental leave and disability insurance
- Employee Stock Purchase Plan with discount
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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 designing or working with large-scale distributed systems—what were the key challenges you faced?
- Tell us about a time you owned a project end-to-end; how did you handle dependencies across multiple teams?