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AI Job Summary

Lead physical design implementation and strategy for high-performance ASIC subchips, managing the full design cycle from RTL to GDSII with responsibility for timing closure, power integrity, and area optimization. Partner with internal teams on feasibility studies and RTL optimization while collaborating with external EDA vendors. Requires a Bachelor's degree in Electrical Engineering or related field and 10 years of physical design experience leading full-chip or sub-chip implementation across process nodes, plus Python, Tcl, or Perl scripting.

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

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Job Description

  • Lead the physical design implementation and strategy for high-performance silicon for critical, high-complexity subchips.
  • Manage the full design cycle from RTL to GDSII, including critical sign-off closures for timing, electrical performance, and power integrity.
  • Partner with internal teams (RTL, DFT, methodology, packaging) to achieve optimal power, performance, and area (PPA) results, including conducting feasibility studies for new microarchitectures and optimizing RTL runs.
  • Collaborate with external EDA and IP vendors to improve flows and methodologies, while contributing to internal processes to ensure efficient and predictable execution.
  • Drive execution schedules, resource planning, and risk mitigation for your area of ownership, scaling your leadership to support overall project-wide milestones.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 10 years of experience in physical design, including leading full-chip or sub-chip implementation such as RTL2GDSII and overseeing key stages like floorplanning, place and route, and timing closure for high-speed ASICs across various process nodes.
  • Experience in Python, Tcl, or Perl scripting.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience with Cadence Innovus, Synopsys DP, Mentor Calibre, and StarRC, and understanding of foundry technology files, rule decks, physical sign-off, and 2.5D/3D packaging.
  • Technical leadership experience managing execution schedules, mitigating risks, and driving cross-functional collaboration with internal teams and external vendors.
  • Understanding of performance, power, and area trade-offs, alongside knowledge of DFT including Scan, MBIST, and LBIST.
  • Ability to navigate ambiguity, scale leadership across the physical design hierarchy, and excellent communication skills to articulate complex technical challenges to stakeholders.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 10 years of experience in physical design, including leading full-chip or sub-chip implementation such as RTL2GDSII and overseeing key stages like floorplanning, place and route, and timing closure for high-speed ASICs across various process nodes.
  • Experience in Python, Tcl, or Perl scripting.
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  • Role Physical Design Lead, TPU, ASIC
  • 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 17 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:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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