Sr. Systems Development Engineer, Amazon Leo - OISL

Key job responsibilities

• Lead the development test system validation
• Lead software/hardware integration testing
• Lead innovative software/firmware/hardware architectures and flows for multiple manufacturing test lines
• Lead review and analysis on 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
• Drive and prioritize execution of system test campaigns
• Design and develop software/scripting test setups and supporting hardware for various subsystem validation of the satellite bus
• Identify and analyze the cross-functional tradeoffs between design alternatives, including impact on performance, schedule, cost, risk, complexity, and scale
• Drive cross-functional schedules, test requirements, specifications and limits with the hardware development team
• Work concurrently with the design engineers to provide design for testability (DFT) feedback throughout the design process
• Support production and integration efforts for hardware subsystems
• Define test strategy, implement and optimize test setup/processes at the CM including design and qualification of test fixtures, test equipment, and test software
• 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

Basic Qualifications

• Experience leading the design, automation, deployment, and support of large-scale infrastructure
• Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
• Experience with Linux/Unix
• Experience with CI/CD pipelines build processes

Preferred Qualifications

• Experience with distributed systems at scale