SpaceX Hardware Reliability Engineer for Starshield at SpaceX responsible for ensuring satellite hardware reliability and performance. Focuses on troubleshooting, root cause analysis, and process improvements in manufacturing.
Responsibilities
Responsible for troubleshooting, root cause, failure investigations, and corrective actions for Starshield production non-conforming hardware
Extreme owner for containing suspect or known non-conforming product, driving root cause investigation progress and providing regular updates to technicians, production leadership, and engineering to assist in quarantine and rework activities
Drive corrective action to products not meeting design specifications through data driven decisions using yield and defect monitoring to identify common failure modes
Work closely with the respective Integration & Test engineers for your products to keep a close feedback loop improving manufacturing processes and test coverage
Maximize return on investment for test and inspection processes, determining where to apply lean process checks which ensure that criteria are objective and that reliability goals are consistently met
Identify areas for design and manufacturing improvements through new product development cycles, improving final yield by applying best practices to designs and establishing repeatable process control
Maintain thorough documentation of failure analysis findings, test results, and corrective actions
Drive corrective actions to prevent factory escapes of defective hardware
Support the shop floor in continuous improvement and the advancing of an autonomous production system through PFMEA reviews, improved control and optimization of critical processes, and removal of redundant or unnecessary inspections
Qualification
Programming experience in PythonActive Top SecretADDITIONAL REQUIREMENTS
Required
Bachelor’s degree in mechanical engineering, aerospace engineering, or other engineering discipline
1+ years of experience in process engineering, manufacturing, or reliability engineering (internships and co-ops acceptable)
Preferred
Master’s degree in mechanical engineering or equivalent engineering discipline
3+ Years of industry experience working with electro-mechanical hardware
Strong interpersonal and collaborative skills, enthusiasm for the team’s spirit of innovation and mission of improving reliability in cutting-edge technology
Proven success with instituting statistical process control and conducting design of experiments (DOE) to understand process dependencies in high volume production environments
Programming experience in Python, C or SQL with an emphasis on data analysis and automation
Knowledge of quality tools such as Lean principles, measurement systems analysis, design of experiments, statistical process control, root cause analysis and corrective action, process failure mode and effects analysis (PFMEA), control plans, and various problem solving approaches
Active Top Secret, Top Secret SCI, or DOE Level Q clearance, or the ability and willingness to obtain one
