Manufacturing Supervisor, Starlink Silicon Assembly
SpaceX · Bastrop, TX · Starlink Production - Silicon Assembly
About this role
SpaceX is hiring a mid-level Manufacturing Engineer in the operations function based in Bastrop, TX. The posting calls out experience with SQL, Backend Development, Power BI.
- Role
- Manufacturing Engineer
- Function
- operations
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bastrop, TX
- Department
- Starlink Production - Silicon Assembly
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.
MANUFACTURING SUPERVISOR, STARLINK SILICON ASSEMBLY
As a Production Supervisor, you will lead and scale high-performance teams responsible for the insourcing of custom integrated circuits and packages — from rapid prototyping through high-volume production. This role requires close collaboration with engineering, supply chain, operations, and management to solve problems quickly in a demanding, fast-paced cleanroom environment. The ideal candidate is motivated by Starlink’s mission to deliver high-speed, low-latency global connectivity.
RESPONSIBILITIES:
- Lead a team of manufacturing specialists, technicians, and equipment maintenance personnel accountable for process development, product qualification, reliability, and high-volume ramp of silicon packages and flight/consumer hardware.
- Own safety performance, ensuring all team members receive required Environmental, Health & Safety training and strictly follow safety policies.
- Develop and mentor team members through training, performance management, career progression, hiring, and discipline.
- Drive continuous improvement using Lean principles, Kaizen, 5S, Value Stream Mapping, and other tools to eliminate waste, reduce cycle time, lower costs, and improve throughput and quality.