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CPU Static Timing Analysis (STA)

Nuvacore

Austin · Santa Clara · $140K–250K · Full-time

Posted 21 Sep 2026

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Nuvacore is building ground-up high performance, low-power CPU for next-generation compute workloads. As physical design engineers as part of the CPU team you will own CPU units for the full silicon development lifecycle..

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 coverages

  • 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

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 and 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.

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