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Array Labs

Space Systems Engineer

Redwood City, CA$150k–$250kfull-timemidAdded 1 month ago

About this role

Array Labs seeks a Space Systems Engineer to design and develop advanced radar satellites for a constellation that provides real-time Earth monitoring. You'll influence the full system architecture from payload design through mass production and on-orbit operations, working in a fast-paced environment that prioritizes hands-on testing over lengthy documentation.

What you'll do

  • Design radar satellite systems spanning payloads, structures, and formation flying architectures
  • Conduct rapid prototyping, testing, and iteration cycles across the entire system
  • Own technical interfaces and requirements throughout development phases
  • Support transition from prototype development to proliferated production systems
  • Contribute to on-orbit operations and mission validation
  • Apply first-principles engineering to complex multi-disciplinary problems

What they're looking for

  • Space systems engineering and architecture
  • Radar payload and satellite design
  • Systems integration and interface management
  • Rapid prototyping and testing methodologies
  • Formation flying dynamics and control
  • Technical problem-solving and trade-off analysis
  • On-orbit operations experience
  • Experience with government or commercial space missions
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Array Labs

Array Labs builds advanced radar satellite constellations that provide real-time Earth observation and 3D mapping for disaster response, infrastructure monitoring, and intelligence applications. The company is hiring engineers across hardware design, systems architecture, software development, RF testing, and signal processing to develop and validate next-generation satellite payloads and coordinated fleet operations.

View all jobs at Array Labs

Likely interview questions

  • Walk us through your experience designing or engineering satellite systems from concept through on-orbit operations. What was your role in the development lifecycle?
  • How have you approached trade-offs between design complexity, cost, and manufacturability when scaling systems from prototypes to production?