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Principal Product Engineer - AI Cloud & Data Center

Marvell
Santa Clara, CA
On-siteUSD 136,880 - 205,000 / year

About this role

Job title: Principal Product Engineer - AI Cloud & Data Center

About the Role As a Principal Product Engineer within the Networking & Connectivity team, you are recognized as a technical leader in Ethernet and Data center products. You own them by leading and supporting the full end-to-end lifecycle, from NPI to Mass Production Release (MPR).

What You'll Do

  • Own NPI deliverables including product characterization, test operation, qualification, yield ramp, and manufacturability
  • Propose and execute product cost and quality improvements
  • Partner with design, DFT/DFM, process, package, and test teams to optimize product performance, quality, and cost across multiple test insertions (Wafer Sort, Final Test, SLT)
  • Align cross-functional engineering teams to full-closure solutions, plan and drive strategic initiatives to enhance new product development methodology
  • Prepare and present summaries for regular updates with cross-functional and executive teams

What We're Looking For

  • Bachelor's degree in Computer Science, Electrical Engineering or related fields and 10+ years of related professional experience
  • Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 5+ years of experience
  • Deep understanding of end-to-end product lifecycle and strategic cost management
  • Hands-on experience with ATE platforms (e.g., Advantest 93K, Teradyne) and System Level Test (SLT) to perform silicon debug, root cause analysis, and corrective actions
  • Solid foundation in applied statistics for product characterization and quality improvement
  • Familiarity with data analytics tools such as JMP and SiliconDash
  • Strong schedule management and optimization skills (interest in process automation is a plus)
  • Solid background in test methodology, silicon process, package, and DFT/DFM
  • Ability to lead cross-functional initiatives, work independently, and manage complex problem solving
  • Strong skill in transforming complex data analytics into high-level presentations

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