Advanced Package Yield and Data Engineer

Marvell Technology • Santa Clara, CA

9d

About The Position

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 The Advanced Packaging Yield & Data Engineer will play a critical role in driving yield improvement, data analytics, and process optimization across advanced packaging technologies for co-packaged optics products. This position blends domain expertise in semiconductor and optical packaging with strong data engineering and analytical capabilities to support high-volume manufacturing and technology development. The successful candidate will be able to leverage the latest in data engineering and analytics and establish robust yield reporting and improvement systems across the entire product lifecycle.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments.
• Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition.
• Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones.
• We look forward to sharing more with you during the interview process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level