Machine Maintenance Supervisor (Starlink) - job 1 of 2

As a Machine Maintenance Supervisor at SpaceX, your key responsibilities include building and leading a team of technicians, developing preventive maintenance schedules, troubleshooting equipment issues, and managing communication with stakeholders. You will also be responsible for creating metrics such as uptime and mean time to repair, ensuring that the maintenance department operates efficiently and effectively.

To qualify for the Machine Maintenance Supervisor position at SpaceX, you must possess either a bachelor’s degree and at least two years of relevant experience in machining, maintenance, or production, or have five or more years of experience in these fields without a degree. Additionally, having prior leadership experience and familiarity with PCB manufacturing will enhance your application.

The Machine Maintenance Supervisor at SpaceX directly supports the Starlink project by ensuring that all maintenance activities within the printed circuit board production line are executed smoothly. Your leadership and organizational abilities help maintain high production standards, which is essential for the reliable operation of Starlink's advanced technology.

Preferred skills for a Machine Maintenance Supervisor at SpaceX include a degree in engineering, experience in PCB manufacturing, effective communication abilities, and knowledge of lean manufacturing principles. Adaptability to changing assignments and a strong background in managing a maintenance team are also beneficial.

In the role of Machine Maintenance Supervisor at SpaceX, you can expect a dynamic and fast-paced work environment. You will frequently interact with various teams, tackle challenges daily, and engage in hands-on problem-solving while ensuring production continuity for the Starlink project.

Discuss your approach to team management, emphasizing collaboration, communication, and your commitment to developing technicians’ skills. Provide examples of how your leadership has positively affected team performance or solved challenges in past roles.

Explain your strategy for task prioritization, focusing on urgency, impact, and available resources. Illustrate how you've managed competing priorities in past experiences while maintaining overall operational efficiency.

Outline your approach to preventive maintenance, including creating schedules, documenting processes, and tracking performance metrics. Share examples of how this has improved equipment reliability in the past.

Provide a detailed scenario demonstrating your troubleshooting skills and decision-making process during equipment failure. Highlight your leadership and team coordination in resolving the issue efficiently.

Discuss your approach to conflict resolution, emphasizing open communication, empathy, and finding common ground. Share an example where you successfully resolved a conflict and improved team dynamics.

Illustrate your familiarity with lean manufacturing by discussing specific principles and practices you have implemented in previous roles. Highlight any measurable improvements in productivity or waste reduction that resulted from your efforts.

Explain the strategies you use to stay informed about industry trends and new technologies. This could include attending workshops, participating in professional networks, and reading industry publications to continually improve your knowledge and practices.

Detail the elements you consider essential in a daily log, such as completed tasks, equipment status updates, any issues encountered, and planned actions. Emphasize the importance of detailed records for future analysis and improvement.

Discuss the methods you use for evaluating training needs, including skills assessments, performance reviews, and observing team members in action. Share examples of how you've successfully implemented training programs based on these assessments.

Identify key performance indicators like uptime, mean time to repair, and overall equipment effectiveness. Discuss how you use these metrics to make data-driven decisions and improve maintenance strategies.