Silicon Engineering Lead, Google Cloud
Job Summary
Job Description
- 8+ years experience with silicon SoC/ASIC production
- 3+ years people management experience
- HVM supplier relationship management
- Meet yield, cost, quality, and DPPM targets
- Master's degree in related field
- 12+ years in silicon product engineering
- Experience with wafer foundries and OSATs
- HVM production flows for high-performance computing chips
2 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience with industry-standard tools, languages and methodologies relevant to the production Silicon SoC’s or ASIC’s, including product engineering or test engineering.
- 3 years of experience in people management, developing employees.
Preferred qualifications:
- Master’s in Electrical Engineering, Computer Engineering, Computer Science, or related field or equivalent practical experience.
- 12 years of experience in silicon product engineering or test engineering.
- Ability to develop and drive relationships with wafer foundry or Offshore Assembly and Test (OSAT) companies.
- Ability in delivering HVM production flows for high-performance computing chips in advanced technology nodes with low DPPM.
About the job
In this role, you will design and build the system within our computing infrastructure. You will develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing and mission-mode operation. You will work to build the machinery that goes into our data centers affecting Google users.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Develop and drive engineering relationships with all High Voltage Module (HVM) suppliers to manufacture SoC and ASIC products, including foundries, Outsourced Assembly and Test (OSAT) providers, assisted-COT, and equipment vendors. Own and drive checkpoints to meet agreed quality and delivery metrics.
- Manage the team for first-line support for all Engineering issue during HVM, including: die, bumping, substrate, assembly; ATE, handler, socket, LoadBoard, TCU, SLT, burn in, probe card, wafersort, FT, QA, SLT, burn In test program release, datalogs, database, yield monitoring, reporting, production excursion control and quality topics, RMA processing and FA with local vendors.
- Meet or exceed agreed yield, cost, quality Defective Parts Per Million (DPPM) and stability requirements in the HVM supply chain.
- Partner with Silicon Operations team to support delivery of finished goods meeting agreed schedules and volumes.
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