SpaceX
Manufacturing Engineer, AI Satellites (Starmind)
About this role
SpaceX seeks a Manufacturing Engineer for Starmind, an orbital AI compute constellation powered by space-based solar energy. You'll lead the full manufacturing lifecycle for satellite compute electronics, power systems, and thermal hardware, from process development through high-rate production.
What you'll do
- Develop and optimize high-rate manufacturing processes for satellite compute hardware and power systems
- Specify, validate, and characterize manufacturing equipment; perform device modeling and materials failure analysis
- Build supply chains for materials (wafers, gases, chemicals) and establish incoming quality acceptance criteria
- Address material and process challenges in panel-level packaging and develop next-generation dielectric solutions
- Implement in-process metrology tools, design test structures, and integrate simulation data to drive process improvements
- Lead end-to-end material and process R&D programs to reduce costs, improve efficiency, and enhance reliability
What they're looking for
- Manufacturing process development and optimization
- Materials science and failure analysis
- Semiconductor or electronics assembly and packaging
- Supply chain management and vendor qualification
- Metrology and quality control systems
- Device modeling and characterization
- Cross-functional collaboration and project management
- Problem-solving in space/extreme environment applications
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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
- Walk us through a time you optimized a manufacturing process for cost or speed—what metrics did you track and how did you measure success?
- Describe your experience with materials failure analysis. How have you used test data and simulation to drive process improvements?