Aerospace Manufacturing Engineer, Amazon Leo - Sustaining Engineering
Amazon
- Location
- US, WA, Redmond
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- 6h ago
Skills
About this role
Amazon Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. We're looking for a hands-on Aerospace Manufacturing Engineer with a background in the SCADA, PLC, design for manufacturing, hardware/software development for hardware test. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. This is a role for a highly collaborative individual who will help us with optimizing for high volume production and meeting cross discipline requirements. We are looking for an engineer who combines superb technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. Key job responsibilities * Develop SCADA and PLC controls for manufacturing * Software/hardware integration testing * Review and analyze data using tools such as MATLAB, Python, or similar. * Support and organize the release of the software and hardware system documents through gate reviews * Investigate and troubleshoot yield issues during prototype and production builds * Write status and/or build reports for cross-functional review * Develop procedures, preventative maintenance plans, and troubleshooting guides to support production * Develop and communicate system integration and evaluation strategies and plans in support of program learning, technical risk reduction, verification, and validation