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Synthesis & Static Timing Analysis (STA) Engineer

Voltai
October 23, 2026
Full-time
On-site
Palo Alto, California, United States
Physical Design Jobs, Level - Mid-Career

Job Title

Synthesis & Static Timing Analysis (STA) Engineer

Role Summary

The STA Engineer owns RTL-to-netlist timing closure and sign-off for complex ASIC blocks and full-chip designs. You will run synthesis flows, develop constraints, perform STA signoff, and build automation to improve throughput and reliability.

Work directly with RTL, physical design, and verification teams and evaluate AI-generated constraints and fixes.

Experience Level

Mid-level. Requires 5+ years of synthesis and STA experience on production tapeouts.

Responsibilities

Primary responsibilities include:

  • Develop and maintain logic synthesis flows and SDC constraints for blocks and full chips.
  • Drive timing closure across corners and modes in collaboration with RTL and physical design teams.
  • Run and sign off STA, including on-chip variation, crosstalk, and multi-corner multi-mode analysis.
  • Perform logic equivalence checking between RTL and netlist.
  • Build automation and scripts to make synthesis and timing flows faster and more reliable.
  • Evaluate AI-generated constraints and timing fixes and help define quality criteria.

Requirements

Must-have qualifications:

  • 5+ years of synthesis and STA experience on production tapeouts.
  • Hands-on experience with Design Compiler/Fusion Compiler or Genus, and PrimeTime or Tempus.
  • Strong SDC skills: clocks, exceptions, generated clocks, and multi-mode constraints.
  • Experience with logic equivalence checking tools (Formality or Conformal).
  • Proficient in Tcl and Python scripting.

Nice-to-have:

  • Advanced-node experience (7nm and below).
  • Experience with ECO flows and timing signoff methodology.
  • Interest or experience with AI-assisted design tools.

Education Requirements

Not specified.


About the Company

Company: Voltai

Headquarters: Palo Alto, CA, United States

Voltai develops AI-driven world models and agents to design, evaluate, and optimize physical systems-focusing on hardware, electronics, and semiconductors to enable AI-led hardware co-design, performance modeling, and cross-domain optimization.

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Date Posted: 2026-10-19