Welding Automation Engineer, Chamber and Nozzle (Raptor)
SpaceX · Hawthorne, CA · Raptor Chamber and Nozzle - Engineering
About this role
SpaceX is hiring a mid-level QA Engineer in the software engineering function based in Hawthorne, CA. The posting calls out experience with Python, Ray, ETL, Machine Learning. Compensation is listed at $100,000–$115,000 per year.
- Role
- QA Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Hawthorne, CA
- Department
- Raptor Chamber and Nozzle - Engineering
More roles at SpaceX
Job description
from SpaceX careersSpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
WELDING AUTOMATION ENGINEER, CHAMBER AND NOZZLE (RAPTOR)
SpaceX is seeking an engineer with deep expertise in automated welding to create the Raptor engine’s combustion chamber and nozzle. These components feature some of the most complex geometries in rocket propulsion — including intricate regenerative cooling channels, thin-walled high-temperature alloys, and tight-tolerance surfaces that must survive extreme thermal and pressure cycles across hundreds of reuse cycles.
You will design, implement, and scale manual and automated welding systems that increase production throughput, improve weld consistency, and reduce defects while enabling rapid design iteration. This role sits at the intersection of propulsion engineering, weld engineering, with aspects of real-time process control, and data-driven quality systems.
Your work will directly enable rapid iteration and high-volume production of Raptor chambers and nozzles.
RESPONSIBILITIES:
- Develop, deploy and iteratively improve automated welding systems for Raptor combustion chambers and nozzles, including manual and automated arc and beam welding processes
- Design and optimize automated weld paths, parameters, and sequences for complex geometries in regenerative cooling channels and nozzle structures