Senior Build Reliability Engineer (Machining)

As a Senior Build Reliability Engineer (Machining) at Impulse , you will own the connection between design requirements, manufacturing execution, and flight performance for machined hardware. You will work hands-on with technicians, manufacturing engineers, and supporting teams to prevent defects before they occur, rapidly diagnose failures, and continuously improve hardware reliability across spacecraft builds. Identify, investigate, and eliminate build defects and failures through root cause analysis and corrective actions both within and outside of your work centers Develop inspection requirements, acceptance criteria, and quality control processes aligned with hardware and mission reliability requirements. Assist in closeout inspections Perform development testing to guide design decisions and characterize hardware performance Provide design-for-reliability guidance during design reviews and build planning Optimize MRP/ERP system modules for improved hardware trace, data collection, and overall reliability Balance inspection and test with lean principles to ensure verifications are both comprehensive and streamlined Develop and implement build quality metrics to heighten awareness and to improve quality landscape over time Act as a specification custodian for inspection plans, storage and handling procedures, process control plans, and more Own training and certification of elevated sign-off privileges for manufacturing technicians Interface with supply chain to improve vendor hardware quality Ensure hardware integrity by holding the line on quality standards, extreme-owning hardware containments, and driving corrective actions to completion Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or related field 5+ years of experience in hardware manufacturing, aerospace, automotive, or high-reliability systems Demonstrated experience supporting production builds, integration, or test of primary structures and/or complex mechanical or electromechanical systems Strong problem-solving skills with demonstrated root cause analysis experience Strong theoretical and working knowledge of GD&T