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10 дней назад

Physical Design Engineer (AI)

250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Physical Design Engineer (AI) (Advanced Silicon): Owning physical design for blocks of a new AI accelerator from floorplanning through tape-out, with an accent on timing, power, area, congestion, and physical verification. Focus on developing AI-assisted implementation flows, resolving architecture and RTL trade-offs, and delivering complex high-performance silicon through first silicon.

Location: On-site in Mountain View, California, United States

Salary: $250k base plus equity

Company

AI compute startup developing an integrated hardware and software platform focused on extreme compute density.

What you will do

  • Own physical design for one or more AI accelerator blocks from synthesis and floorplanning through final sign-off.
  • Lead placement, routing, clock-tree synthesis, timing closure, power, area, congestion, and physical verification.
  • Develop AI-assisted flows to accelerate physical-design and sign-off timelines.
  • Resolve implementation trade-offs with architects and RTL designers.
  • Collaborate with EDA vendors, foundries, packaging, and verification teams.
  • Deliver complex silicon blocks through tape-out and first silicon.

Requirements

  • 8+ years of hands-on physical-design experience.
  • Experience with high-performance designs at 7nm or below.
  • Full-flow ownership from synthesis and floorplanning through sign-off.
  • Strong experience with Cadence Innovus, Synopsys Fusion Compiler, or equivalent tools.
  • Hands-on timing sign-off experience with PrimeTime, Tempus, or equivalent.
  • Experience collaborating with architecture, RTL, foundry, and EDA teams, including a track record of taking complex silicon through tape-out.

Nice to have

  • CoWoS, chiplet, 2.5D, or 3D packaging experience.
  • Thermal, IR-drop, electromigration, or signal-integrity sign-off experience.
  • DFT-aware physical design experience.
  • Experience with AI accelerators, CPUs, GPUs, or other high-performance compute silicon.
  • Experience building or improving physical-design automation.

Culture & Benefits

  • Work alongside engineers with experience in advanced CPUs, custom AI silicon, and wafer-scale systems.
  • Own foundational implementation decisions for a new AI computing platform.
  • Work across silicon, packaging, firmware, compilers, kernels, and infrastructure.

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