aipythonphysical designstartuptclsemiconductorclock tree synthesisplace and routefloorplanningtiming closure
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Hirify AI/Оригинал
TL;DR
Physical Design Engineer (AI/Semiconductors): Taking chip designs from netlist to GDSII and owning floorplanning through physical closure for production silicon programs with an accent on advanced-node implementation, timing, power, and physical verification. Focus on building place-and-route automation, evaluating AI-generated floorplans, closing DRC/LVS and power-integrity issues, and solving implementation challenges with customer teams.
Location: Palo Alto Office, USA
Company
hirify.global develops world models and agents for understanding and building hardware, electronics systems, and semiconductors with AI.
What you will do
Own block-level and full-chip physical implementation from netlist to GDSII, including floorplanning, placement, clock tree synthesis, and routing.
Drive timing, power, and congestion closure with synthesis and static timing analysis teams.
Close physical verification and power-integrity requirements for signoff, including DRC/LVS, IR drop, and electromigration.
Build and improve place-and-route flows and automation using Tcl and Python.
Evaluate AI-generated floorplans and implementation decisions and help define quality standards.
Work directly with customer teams on implementation challenges.
Requirements
5+ years of physical design experience with multiple production tapeouts.
Deep experience with Innovus or Fusion Compiler/ICC2.
Strong understanding of timing closure, clock tree synthesis, and power distribution networks.
Experience at advanced nodes of 7nm and below.
Strong Tcl and Python scripting skills.
Nice to have
Full-chip integration or hierarchical design experience.
Experience with high-speed or low-power designs.
Interest in applying AI or machine learning to physical design.
Culture & Benefits
Work on real silicon programs with leading semiconductor companies.
Collaborate with a team of semiconductor, AI, hardware, and physical-design experts.
Contribute to teaching AI how expert physical designers make implementation decisions.
Work from the Palo Alto office.
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