SpaceX Manufacturing Engineer at SpaceX Starmind to own manufacturing line development for satellite compute hardware. Optimize high-rate manufacturing and lead materials and process R&D for advanced electronic systems.
Responsibilities
Own the development and optimization of high-rate manufacturing for satellite
Own the full lifecycle of equipment specification, validation, and process development— including device modeling, characterization of performance metrics, and materials failure analysis.
Build supply chains for wafers, gases, chemicals, and equipment for solar cell manufacturing. Define incoming acceptance criteria for materials (e.g. silicon wafers, conductive pastes).
Address material and process challenges in panel-level packaging while spearheading the development of next-generation dielectric materials to improve packaging performance and scalability.
Specify and implement in-process metrology tools for quality control. Design wafer-level test structures to evaluate material/electronic properties. Integrate simulation tools with experimental data to guide and drive targeted improvements via material or process changes.
Drive end-to-end material and process R&D programs, from concept through product implementation, to drive cost down, efficiency improvements, and reliability in electronic systems.
Collaborate closely with leadership and stakeholders across all departments—including design, reliability, production, and supply chain—to integrate materials innovations into product roadmaps and ensure accountability for operations and reliability.
Manage compliance risks related to materials and processes, ensuring safety and environmental compliance with industry standards.
Qualification
InternshipExperience designing tooling
Required
Bachelor's degree in an engineering degree.
Experience in microelectronics device research or manufacturing.
Preferred
Internship, co-op, or early-career experience in hardware, robotics, automation, or manufacturing environments
Experience designing tooling, fixtures, or jigs for assembly or test applications
Exposure to scripting or data analysis tools (e.g., Python, MATLAB, or equivalent) for process data analysis or automation
Experience working with precision assemblies, robotic systems, or automated pick-and-place equipment
Familiarity with manufacturing process development methodologies (e.g., PFMEA, process capability studies, SPC)
Exposure to GD&T and tolerance analysis as applied to fixture and tooling design
Experience with or interest in production data systems, MES, or manufacturing traceability infrastructure
Familiarity with cleanroom or controlled-environment manufacturing practices