Marvell's Optics team needs to build and improve data-driven infrastructure to support yield, quality, and reliability for highly integrated component platforms with high-speed Silicon photonics, transmit and receive amplifiers, and controller ASICs with Marvell DSPs.
Requirements
- Strong programming experience in Python (pandas, numpy), SQL query, JMP script or similar platforms for data analytics and test automation.
- Familiar with JMP, data visualization, statistical methods, and interactive web-based reporting.
Responsibilities
- Develop automated data analysis tools and dashboards to monitor yield, performance, and failure trends.
- Leverage SQL, Python (pandas, numpy), and JMP for statistical analysis, correlation studies, and root-cause identification.
- Build interactive HTML-based dashboards with editable query parameters for engineering and production team.
- Support NPI by testing prototype optical transceivers at various stages, including PCBA, sub-assembly, and modules.
Other
- Undergraduate student in fields of Electrical Engineering, Computer Engineering, Computer Science or related fields.
- Strong ownership, problem-solving skills, excellent communication, flexibility, and team spirit.
- This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law.
