Google

Runs Search and YouTube and builds Gemini AI

Signal/Power Integrity Engineer

Board & Electronics DesignConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A PhD degree in Electrical Engineering, Computer Engineering, Physics, Materials Engineering, or Computer Science is required.
Relevant practical or internship experience, or personal project experience in hardware or electrical engineering is required.

Responsibilities

Simulate high-speed interface electrical behavior using HSPICE or other circuit simulators.
Generate precise electrical models, including S-parameters and SPICE models, for components such as packages, PCBs, and connectors for simulations.
Collaborate with ASIC architects, digital and analog designers, physical design and layout engineers, and system engineers to define specifications and resolve integration challenges.
Execute lab measurements using oscilloscopes, Vector Network Analyzers, Time Domain Reflectometers, and spectrum analyzers to validate simulation outcomes and debug signal- and power-related issues on silicon prototypes and boards.
Establish design rules and guidelines for optimal signal and power integrity during PCB and package layout to ensure production yield and reliability.

Desired Qualifications

Working knowledge of physical-layer requirements for PCIe and Ethernet (IEEE 802.3).
Advanced proficiency in Python, including NumPy and Pandas, for data analysis and instrument control.
Ability to correlate lab measurements with pre-silicon signal-integrity simulations using HSPICE, ADS, or Sigrity.

Simulate high speed interface electrical behavior using HSPICE or other circuit simulators.
Generate precise electrical models (e.g., S-parameters, SPICE models) for components such as packages, PCBs, and connectors for use in simulations.
Collaborate extensively with cross-functional teams, including ASIC architects, digital/analog designers, physical design/layout engineers, and system engineers, to define specifications and resolve integration challenges.
Execute lab measurements utilizing test equipment like oscilloscopes, Vector Network Analyzers (VNA), Time Domain Reflectometers (TDR) , Spectrum analyzers to validate simulation outcomes and debug signal and power-related issues on silicon prototypes and boards.
Establish robust design rules and guidelines for optimal signal/power integrity during PCB and package layout, ensuring high production yield and reliability.

Minimum qualifications:

PhD degree in Electrical Engineering, Computer Engineering, Physics, Materials Engineering, or Computer Science.
Relevant practical or internship experience, or personal project experience in hardware or electrical engineering.

Preferred qualifications:

Working knowledge of physical layer requirements for PCIe, Ethernet (IEEE 802.3).
Advanced proficiency in Python (NumPy, Pandas) for data analysis and instrument control.
Ability to correlate lab measurements with pre-silicon SI simulations (HSPICE, ADS, or Sigrity).

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.

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Haifa, Israel; Tel Aviv, Israel.

PhD degree in Electrical Engineering, Computer Engineering, Physics, Materials Engineering, or Computer Science.
Relevant practical or internship experience, or personal project experience in hardware or electrical engineering.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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