SpaceX
Propulsion Engineer, Chamber and Nozzle Manufacturing (Raptor)
About this role
SpaceX seeks a manufacturing engineer to design and optimize production processes for the Raptor engine's combustion chamber and nozzle—some of the most complex components in rocket propulsion. You'll scale manufacturing methods, implement data-driven quality systems, and enable high-rate production of these extreme-performance parts for Starship.
What you'll do
- Own fabrication, joining, finishing, and verification processes for Raptor thrust chamber and nozzle hardware
- Develop manufacturing strategies, work instructions, custom fixtures, and tooling for complex geometries
- Build data pipelines and statistical process control systems to optimize production and reduce defects
- Partner with propulsion design and supply chain teams to convert designs into scalable, manufacturable processes
- Manage production line consistency, equipment, safety, ergonomics, facility layout, and product introductions
- Challenge existing processes and collaborate across engineering and technical teams to support high-rate production
What they're looking for
- Manufacturing process development and optimization
- High-temperature alloys and thin-walled component fabrication
- Statistical process control and data analytics
- CAD/CAM and manufacturing simulation software
- Fixture and tooling design
- Propulsion or combustion chamber knowledge
- Cross-functional collaboration and technical documentation
- Quality assurance and nonconformance resolution
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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 complex metallic component you've manufactured—what were the key challenges and how did you optimize the process?
- Describe your experience with statistical process control or data-driven manufacturing optimization.