Principal Product Engineer - AI Cloud & Data Center; Platform Transformation Lead
$136,880–$205,000 year
On-siteSanta Clara, California, United States
Job Summary
Drive technical leadership from development through production for strategically critical AI and XPU product lines, ensuring decisions support robust, scalable productization. Serve as the primary technical stakeholder during NPI, guiding teams through characterization, debug, qualification, and readiness discussions while establishing and defending test tier architecture across wafer sort, ATE, and SLT. Lead ATE-to-SLT correlation efforts to translate yield and quality signals into actionable product improvements, champion emerging high-throughput SLT technologies, and define product quality, reliability, and cost targets based on data-driven system-level impact. Represent Product Engineering in customer interactions and internal leadership forums to articulate status, risk, and recommended paths forward.
Required Qualifications
- Expertise in System Level Test platforms and validation work
- Hands-on experience with SLT board design, DUT fixturing, and socket qualification
- Deep understanding of test tier architecture across wafer sort, ATE, and SLT
- Demonstrated experience driving ATE-to-SLT correlation, yield learning, and escape containment across test tiers in a volume manufacturing environment
- Familiarity with emerging high-throughput SLT methodologies — including parallelization strategies, handler and thermal system constraints, and scalable test content development
- Strong expertise in structured problem solving and Root Cause Analysis across silicon, test, and manufacturing environments
- Proven ability to translate complex technical data and analytics into clear, executive-level narratives and recommendations
- Hands-on experience using ATE for silicon characterization, analysis, and debug
- Solid foundation in applied statistics for product characterization, yield improvement, and quality analysis
- Working knowledge of data analytics and visualization tools such as JMP and SiliconDash or equivalent platforms
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 10+ years of relevant industry experience, preferably in semiconductors
- Master's degree and/or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 5+ years of relevant industry experience, preferably in semiconductors
Desired Qualifications
- Experience with 93K
- Interest in process automation and workflow optimization
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