Senior Silicon Product Engineer

Minimum qualifications:

• Bachelors degree in Electrical Engineering, Mechanical Engineering, Materials Science, Chemical Engineering, a related field or equivalent practical experience.
• 5 years of experience with Very-Large-Scale Integration (VLSI) technologies, product and test engineering, and semiconductor processing.
• Experience in ATE or System-Level testings using AdvanTest or UFlex systems.
• Experience with new technology like 3nm nodes.

Preferred qualifications:

• Experience with Machine Learning (ML) based automation to improve test cost, coverage and quality in Semiconductor Industry.
• Experience in System Level Testing with using Advantest platform.
• Experience with advanced packaging such as 2.5d, InFo.
• Experience with process technology, and how it relates to design and testing Data analysis.
• Experience with Design for test (DFT) techniques and structural tests such as Scan/ATPG, JTAG and memory Built-in self test
  (BIST) with testing sensors such as PVT sensors, Temp sensors etc.
• Knowledge of SERDES, PCIe, DDR and Mixed-Signal circuits such as ADC, DAC, PLL, LDO and their performance measurements.

About the job:

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

In this role you will help develop and deploy test solutions using Automatic Test Equipment (ATE) for manufacturing at Floating Action Button (FABs) Outsourced Assembly and Test (OSATs) etc. that meets the final product's performance and power specifications. You will help integrate System on a chip (SoC) technologies into devices and facilitate ATE manufacturing testing of SoC to validate performance and screen out devices. You will own all aspects of testing and work with cross functional teams to ensure the optimal test coverage in production to ensure high quality SoCs. You will work with various groups to develop digital and mixed signal tests, automation methodologies, develop/support internal tools for test program generation, vector tracking, test program release, etc. You will also work on releasing cost effective production test solutions into mass production.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities:

• Perform SoC (AI centric) Product Specifications and Design for testing (DFT) Architecture reviews and generate New Product Introduction (NPI) characterization/test/manufacturing plans.
• Support Test hardware design (e.g., probe card, Load board) requirements, ATE Test program review, and strive test coverage to achieve desired Defective parts per million (DPPM).
• Perform Die/Package level bring-ups, troubleshoot different failure modes and help resolve issues by collaborating with cross-functional teams.
  
• Perform Intrusion Detection System (IDS), Vmin and Key KPI characterization and systems correlation, conduct reviews, generate reports to meet product's AI performance and power goals.
  
• Support OSAT Bring Up, timely ATE manufacturing test programs releases and meet test cost (e.g., Yield and Test time) goals.