10 дней назад
Physical Design Engineer (AI)
250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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