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CPU Static Timing Analysis (STA)

Nuvacore
Austin, USA
Full-time
Senior · 12+ years experience
Hybrid
USD 140000-250000 / year
Discovered 1 weeks ago
perlpython

Full Job Posting

THE ROLE

As a CPU Static Timing Analysis (STA) Engineer, you will participate in the following:

Responsible for performing timing and noise analysis on designs and rolling up analysis results.

Responsible for verifying the quality of the timing/noise runs and checking analysis coverage.

Responsible for working with the design teams on understanding the violations and providing fixing suggestions/strategies as well as constraint refinements when needed.

Responsible for performing ECO generation per design needs.

Develop essential methodologies and infrastructure for Timing Analysis & Design closure.

Responsible for working with the CAD team and providing feedbacks on tool/flow issues or enhancement requests to improve productivity.

MINIMUM QUALIFICATIONS

  • Hold a BS or MS degree with 12+ years of experience (for Lead roles) or 5+ years of experience (for Individual Contributor roles) in static timing analysis on high-speed designs.
  • Knowledge in industry-standard EDA tools and scripting languages.
  • Understanding various timing and noise analysis checks and corresponding constraints.
  • Strong communication and collaboration skills.
  • Possess substantial years of experience in CPU unit-level timing and noise analysis
  • Understanding of timing noise models and hierarchical analysis strategies..
  • Understanding of advanced technologies and scaling trends.
  • Knowledge of physical design flow and methodology including logic synthesis, PnR, parasitic extraction, logic equivalence etc., which are related to timing analysis.
  • Proficient in Python, Perl, or TCL to enhance design productivity and flow efficiency
  • Experience in using Agentic AI tools for productivity and automation.

REQUIREMENTS — PREFERRED

Possess substantial years of experience in CPU unit-level timing and noise analysis

Understanding of timing noise models and hierarchical analysis strategies..

Understanding of advanced technologies and scaling trends.

Knowledge of physical design flow and methodology including logic synthesis, PnR, parasitic extraction, logic equivalence etc., which are related to timing analysis.

Proficient in Python, Perl, or TCL to enhance design productivity and flow efficiency

Experience in using Agentic AI tools for productivity and automation.

Preferred Qualifications

  • PREFERRED
  • REQUIREMENTS — PREFERRED

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