Vision System Development Engineer, GSE Automation, Amazon Leo
About the role
The Vision System Development Engineer (SysDE II) will develop and maintain automated visual inspection systems and production test software for Amazon Leo's satellite manufacturing facility. The role involves integrating machine vision libraries, image processing pipelines, and hardware interfaces to ensure reliable, high-throughput defect detection and end-of-line test execution.
Responsibilities
- Design and implement automated visual inspection systems using machine vision cameras, lighting, and image processing algorithms for production defect detection
- Develop test automation software and frameworks that interface with PLCs, sensors, and mechatronic test fixtures for end-of-line validation
- Build image processing pipelines and classification models to identify defects across varying part geometries, surface conditions, and production rates
- Architect scalable inspection and test system architectures supporting high-throughput manufacturing lines with minimal cycle time impact
- Create monitoring, alarming, and reporting solutions for inspection system health, test yield trends, and defect analytics
- Implement calibration routines, golden sample validation, and statistical process controls ensuring inspection accuracy and repeatability over time
- Maintain technical documentation for test procedures, inspection recipes, and system configuration
- Lead technical troubleshooting and root cause analysis for inspection false calls, test failures, and hardware integration issues affecting production
- Support production operations through test system automation, reducing manual inspection touchpoints and improving throughput reliability
- Drive continuous improvement for inspection accuracy, test coverage, cycle time reduction, and system maintainability
- Collaborate with production, quality, manufacturing engineering, and equipment vendors while managing escalations and coordinating resolution of yield-impacting issues
Requirements
- Experience in automating, deploying, and supporting 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
- Bachelor's degree in computer science or equivalent
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of hands-on experience developing or deploying machine vision systems, automated optical inspection, or image processing applications.
Qualifications
- Experience building services using AWS products
- Experience in networking, storage systems, operating systems and hands-on systems engineering
- Knowledge of database systems and SQL
- 3+ years of hands-on experience developing or deploying machine vision systems, automated optical inspection, or image processing applications in a manufacturing or industrial environment.
Benefits
Amazon offers a comprehensive benefits package including medical, dental, vision, prescription, life insurance, AD&D, EAP, mental health support, flexible spending accounts, adoption and surrogacy reimbursement coverage, and more. Learn more at https://amazon.jobs/en/benefits.
Pay
The base salary range for this position is $129,200.00 - $174,800.00 USD annually.
Schedule
The typical schedule requires 5 days in-person per week, participation in on-call and weekend rotations to align with Leo production shifts.