Senior CPU Physical Design Engineer

Google; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google in Mountain View, CA is hiring a senior hardware design engineer to develop custom silicon and drive physical design excellence. You will own block- and IP-level implementation from synthesis through Place & Route, collaborate with architecture, RTL and DFT teams to optimize Power, Performance and Area, and address timing challenges with advanced techniques.

Individual pay is determined by experience; US: $163000 - $236000 (USD) with 15% bonus target plus equity and benefits.

Qualifications

• Eight years of experience in high‑speed digital design and PPA optimization.
• Experience with sign-off convergence domains such as STA and physical verification.
• Bachelor's degree or equivalent practical experience in a related field.

Responsibilities

• Collaborate with architecture, RTL, and DFT teams to optimize PPA trade-offs.
• Own block and IP‑level implementation from synthesis through Place and Route.
• Debug timing paths and apply advanced physical design techniques to meet timing.
• Execute signoff activities including STA, power recovery, and electrical checks.

Skills

High-speed digital design

STA/Physical verification

PPA optimization

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science

Tools

Python

Tcl

Perl

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Mountain View, CA, USA; Portland, OR, USA; Poughkeepsie, NY, USA.

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 high-speed digital design, implementation, and Power, Performance, and Area (PPA) optimization.
• Experience with sign-off convergence domains, including Static Timing Analysis (STA), electrical checks, or physical verification.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience with advanced process nodes (e.g., 5nm, 3nm, 2nm, or below).
• Experience applying AI/ML-assisted techniques for physical design closure and PPA scaling.
• Proficiency in scripting (Python, Tcl, Perl) and data mining for QoR metrics.
• Understanding of EMIR flows, power grid design, and design reliability for high-frequency circuits.

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.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Partner with architecture, RTL, and DFT teams to optimize Power, Performance, and Area trade-offs.
• Own block and IP-level physical design implementation from synthesis through Place and Route.
• Debug critical timing paths and apply advanced physical design techniques to solve timing challenges.
• Execute signoff activities, including Static Timing Analysis, power recovery, and electrical layout checks.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .