Advanced Package Yield and Data Engineer

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

What You Can Expect

• Select, implement and maintain scalable data pipeline solutions to collect, clean, and structure data
• Partner with design, test, manufacturing and characterization leads to understand challenges and provide data analytics solutions
• Integrate data from ATE (Automated Test Equipment), DFT (Design for Test), and fab & assembly process and reliability logs for comprehensive analysis
• Prepare reports and presentations summarizing yield trends, analysis results, improvement opportunities, and project status for engineering and management stakeholders.
• Drive or support data-driven predictive models and analytics methodologies (statistical analysis, machine learning, AI where applicable) to forecast yield behavior.
• Enable engineering teams with self-serve data analytics tools at each IC level and at partner sites.

What We're Looking For

• MS in CS/physical sciences/engineering and 7+ years of relevant industry experience.
• Proven experience in semiconductor advanced packaging, including exposure to 2.5D/3D integration, fan-out, or other heterogeneous packaging formats.
• Experience in managing data with third party vendors (preferably foundries and/or OSATs)
• Experience with python/SQL/JMP for large data sets
• Strong cross-functional collaboration with packaging process, test, metrology, design, and external manufacturing partners.
• Excellent communication skills for conveying technical findings to both technical and non-technical stakeholders.
• Problem-solving orientation with ability to lead root cause investigations and drive corrective actions.

Preferred Qualifications

• Experience integrating machine learning or predictive analytics into early development and manufacturing frameworks.
• Familiarity with advanced data warehousing or cloud analytics platforms used for large-scale data processing, including third-party data.

Expected Base Pay Range (USD)

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

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. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.