Job Description
Minimum qualifications:
- Bachelor's degree in Mechanical/Computer/Electrical Engineering, Computer Science or equivalent practical experience.
- 4 years of experience in product engineering, test engineering, or failure analysis for SoC or ASIC products.
- Experience with semiconductor manufacturing, wafer processing, chip packaging, or product reliability.
- Experience with manufacturing yield or RMA.
Preferred qualifications:
- Master's degree in Mechanical/Computer/Electrical Engineering or Computer Science, focusing on semiconductors.
- Experience in ATE test and characterization, board level test and characterization and system level test and characterization.
- Experience in product bring-up, silicon debug and qualification, power/voltage/temperature, signal and power integrity characterizations, electrical failure analysis (EFA) and physical failure analysis (PFA).
- Knowledge of computer architecture, high performance IC design, high performance interface design, memory subsystem architecture, signal/power integrity analysis, timing analysis, fault analysis and electrical engineering fundamentals.
- Ability to work with internal cross-functional teams and external suppliers, demonstrating excellent leadership and presentation skills.
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Silicon Product and Failure Analysis Engineer, you will contribute experience in product development to lead and drive high performance product readiness. In collaboration with functional teams, you'll analyze and resolve problems by identifying failure modes of affected materials as part of a fast-paced environment.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefitsLearn more about benefits at Google.Responsibilities
- Work on IC product qualification and plan and drive execution. Perform data analysis, characterization and fault isolation to figure out root cause of issues and define and direct design of experiments.
- Perform yield analysis and correlation analysis for all levels of tests. Perform statistical analysis during product ramp up.
- Define and finalize production screening guard-band specifications, appropriate test conditions based upon product design intent and characterization results.
- Work with cross-functional teams in driving suppliers to product qualification, initial yield ramp and manufacturing ramp.
- Work with cross-functional teams on failure analysis and debug of field issues and deliver engineering data and reports supporting Return Material Authorization (RMA) process.
Numbers & Facts
| Location | Sunnyvale, CA |
| Industry | Computer Software |
| Company Size | 10,000 employees or more |
| Year Founded | 1998 |
| Website | https://goo.gle/4dbno6V |
Benefits
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
About Company
Build for everyone
Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.
It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.
So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Benefits
We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.
Learn more about Google’s benefits on this site featuring Googlers’ experience.
How we Hire
Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.
Skills
- ASIC (Application Specific Integrated Circuit)unmatched
- ATE Testersunmatched
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Cloud Computingunmatched
- Computer Architectureunmatched
- Computer Scienceunmatched
- Cross-Functionalunmatched
- Data Analysisunmatched
- Debugging Skillsunmatched
- Design Verificationunmatched
- Electrical Engineeringunmatched
- Electricityunmatched
- Equal Employment Opportunity (EEO)unmatched
- Experiment Designunmatched
- Failure Analysisunmatched
- Graphic Designunmatched
- Identify Issuesunmatched
- Integrated Circuit (IC) Designunmatched
- Integrated Circuits (ICs)unmatched
- Leadershipunmatched
- Manufacturingunmatched
- Memory Subsystemunmatched
- Network Operations Centerunmatched
- Operations Researchunmatched
- Presentation/Verbal Skillsunmatched
- Problem Solving Skillsunmatched
- Product Designunmatched
- Product Developmentunmatched
- Product Engineeringunmatched
- Product Testingunmatched
- Return Merchandise Authorization (RMA)unmatched
- Semiconductor Manufacturingunmatched
- Semiconductorsunmatched
- Signal Integrityunmatched
- Silicon Bringupunmatched
- Software Engineeringunmatched
- Statisticsunmatched
- System Architectureunmatched
- System Testunmatched
- System-on-a-Chip (SoC)unmatched
- Testingunmatched
- Timing Verificationunmatched
- Wafer Manufacturingunmatched
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