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AI Job Summary

Lead timing constraint creation, validation, and sign-off for complex ASICs, developing static timing analysis methodologies and execution flows. Requires a Bachelor's degree in Electrical Engineering or related field, 10 years of static timing analysis experience including 5 years in technical leadership, proficiency with EDA tools like PrimeTime or Tempus, Tcl scripting, and expertise in full-chip timing convergence and clock distribution networks.

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

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Job Description

  • Lead effort for timing constraint creation and validation, timing analysis and timing Engineering Change Order (ECO) creation, and final timing sign-off for complex ASICs.
  • Drive both static timing analysis methodology development and support, as well as chip implementation and timing signoff execution.
  • Develop, support and execute implementation flows around industry-standard static timing and parasitic extraction tools.
  • Interface with the broader team to triage and resolve reported technical issues, escalating complex tool-related problems to Electronic Design Automation (EDA) vendors and deliver timely and effective solutions.
  • Lead collaboration with RTL design and DFT team for high quality integrations and timing constraints.

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 static timing analysis (STA), including 5 years of experience in a technical leadership capacity.
  • Experience achieving full-chip timing convergence and authoring, reviewing, or validating timing constraints (e.g., Synopsys Design Constraints (SDC)).
  • Experience using tool command language (Tcl) commands for timing analysis, timing closure, parasitic extraction, noise glitch, or crosstalk.
  • Experience using electronic design automation (EDA) tools (e.g., PrimeTime, Tempus, Timevision, or STAR-RC).
  • Experience analyzing cross-chip clock distribution networks.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • 12 years of experience in the domain of static timing analysis and 5 years of experience in leading STA activities for SOC.
  • Experience leading physical design or STA flow/methodology to successful tape-outs and shipping silicon.
  • Experience analyzing data trends, semiconductor device physics, SPICE simulation, and full-chip static timing topics.
  • Exceptional track record of on-time STA sign-off and delivery within physical design execution cycles.
  • Drove full-chip timing convergence, timing constraint validation, and complex timing ECO implementation and sign-off.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 10 years of experience in static timing analysis (STA), including 5 years of experience in a technical leadership capacity.
  • Experience achieving full-chip timing convergence and authoring, reviewing, or validating timing constraints (e.g., Synopsys Design Constraints (SDC)).
  • Experience using tool command language (Tcl) commands for timing analysis, timing closure, parasitic extraction, noise glitch, or crosstalk.
  • Experience using electronic design automation (EDA) tools (e.g., PrimeTime, Tempus, Timevision, or STAR-RC).
  • Experience analyzing cross-chip clock distribution networks.
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  • Role Physical Design Lead, Static Timing Analysis
  • 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 23 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:
4 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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