Principal Physical Design Engineer — AI Accelerator SoC

Acceler8 Talent

San Francisco (CA)

Hybrid

USD 180.000 - 320.000

Vollzeit

14 Tage+
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Zusammenfassung

Acceler8 Talent seeks a Principal Physical Design Engineer to lead the complete physical implementation of high-performance AI accelerator blocks. You will drive floorplanning, place&route, timing closure, and power optimization, partnering with architects, RTL, verification, and software teams to deliver production-ready silicon.

Join a well-funded AI hardware startup building next-gen inference platforms, collaborating with world-class engineers from semiconductor and AI industries to shape

Qualifikationen

  • 8+ years of physical design experience on complex ASICs.
  • Expertise in full implementation flow from floorplanning to signoff.
  • Experience with 7nm or smaller nodes and high-performance blocks.

Aufgaben

  • Own the complete physical design flow for major SoC blocks from floorplanning to signoff.
  • Develop AI-assisted methods to improve productivity and tapeout timelines.
  • Lead place-and-route, CTS, timing closure, and power optimization.
  • Collaborate with architecture, RTL verification, and software teams for performance and area goals.
  • Coordinate with foundries/EDA vendors to deliver production-ready silicon.

Kenntnisse

Physical design
ASICs 7nm+
Floorplanning
Place & Route
Timing closure
Synthesis
Power optimization
Collaboration with RTL/Architecture
EDA tools

Ausbildung

MS in Electrical Engineering

Tools

Cadence Innovus
Synopsys Fusion Compiler
PrimeTime/Tempus

Jobbeschreibung

Acceler8 Talent seeks a Principal Physical Design Engineer to lead the complete physical implementation of high-performance AI accelerator blocks. You will drive floorplanning, place&route, timing closure, and power optimization, partnering with architects, RTL, verification, and software teams to deliver production-ready silicon.

Join a well-funded AI hardware startup building next-gen inference platforms, collaborating with world-class engineers from semiconductor and AI industries to shape

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