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Optimize power, performance, and area trade-offs across block and IP-level physical design from synthesis through place and route. Requires eight years of high-speed digital design and PPA optimization experience, plus expertise in sign-off convergence including Static Timing Analysis, electrical checks, and physical verification. Bachelor's degree in electrical engineering, computer engineering, computer science, or equivalent practical experience required.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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.

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.
  • 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.
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  • Role Senior CPU Physical Design Engineer
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

177K – 210K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 28 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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