SoC Product Engineer, Platform, Google Cloud
Job Summary
Job Description
- Bachelor's degree in relevant field
- 8+ years in product/test engineering
- Experience with ATE and SLT
- High-volume manufacturing experience
- Data analytics skills (e.g., Python, JMP)
- Collaboration with cross-functional teams
- Master's degree in relevant field
- 12+ years of experience
- Experience with Yield Management Systems
6 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in product engineering or test engineering.
- Experience with product engineering, supply chain data analytics, diagnostics for High Volume Manufacturing, or NPI.
- Experience with ATE and SLT.
- Experience in statistical analysis (e.g., JMP), Yield Management Systems (e.g., Exensio, Yield Explorer, JMP), or Python for data analytics.
Preferred qualifications:
- Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
- 12 years of experience in product engineering and test engineering.
About the job
As a SoC Product Engineer, you will design and build the systems that are the heart of the world's largest and most powerful 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 support 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 implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, DPPM reduction, Test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and System Level Test (SLT).
- Drive interactions with wafer fabs and OSATs, own and drive checkpoints for key quality metrics.
- Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and RMA handling.
- Collaborate with cross-functional teams across the globe including ATE and SLT Test Engineering, Q&R, Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution.
- Support setup and maintenance of test, diagnosis, and yield analysis infrastructure, including RMA support.
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