Principal Product Engineer - AI Cloud & Data Center — Santa Clara, CA
Full job description
About Marvell
Your Team, Your Impact
Become empowered as a key decision-maker for Marvell’s portfolio of Ethernet and Data center products from New Production Introduction (NPI) to Mass Production Release (MPR).
You will part of a dynamic product engineering team working on most advanced wafer fab and package technologies for Server, Data Center and Network Processor and Switches. At Marvell Technology, we are shaping the future of data infrastructure with silicon solutions that move, store, process, and secure the world’s data. Our Cloud Data Center Group is at the forefront of enabling ultra-high-speed data transfer and cloud connectivity for the world’s leading hyperscalers.
What You Can Expect
- As a Principal Product Engineer within the Networking & Connectivity team, you are recognized as a technical leader in Ethernet and Data center products. You are not simply assigned products to manage – you own them by leading and supporting the full end-to-end lifecycle.
- Own new product introduction (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 summary for regular update with cross-functional and executive team
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
Expected Base Pay Range (USD)
136,880 - 205,000, $ per annum
Interview Integrity
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