Remote CPU PD Methodology & Automation Lead

Socket.dev

Santa Clara (CA)

On-site

USD 100,000 - 500,000

Full time

12 days ago
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Job summary

Tenstorrent is seeking a Physical Design CPU Methodology Engineer to define and drive the implementation methodology, automation strategy, and signoff infrastructure for high-performance CPU cores across advanced process nodes. This role blends deep PD expertise with technical leadership to enable RTL-to-GDS execution and scalable flow adoption.

The position is remote-based out of the United States, with opportunities to influence multiple projects and teams while collaborating with

Qualifications

  • 10+ years ASIC/SoC/CPU design experience.
  • Deep RTL-to-GDS and signoff expertise.
  • Experience creating or owning PD methodologies and CAD flows.
  • Proficient in Tcl, Python, Perl scripting.

Responsibilities

  • Define and own scalable CPU physical design methodology spanning synthesis, floorplanning, power planning, place and route, CTS, extraction, STA, SI, EM/IR, and physical verification.
  • Explore AI/ML-enabled PD tooling, begin synthesis and PnR of CPU partitions, and start developing the new program RM flow.
  • Drive automation, constraints, quality metrics, signoff criteria, dashboards, checkers, and debug workflows that improve predictability, turnaround time, and PPA.
  • Partner with architecture, RTL, circuit, DFT, CAD, program, data, and EDA vendor teams to enable advanced nodes and productize AI/ML across physical design.

Skills

Physical Design
ASIC/SoC/CPU experience
RTL-to-GDS
Tcl/Python/Perl scripting
Technical leadership

Education

Bachelor's degree in Electrical Engineering or related

Tools

CAD tools
EDA flows

Job description

Tenstorrent is seeking a Physical Design CPU Methodology Engineer to define and drive the implementation methodology, automation strategy, and signoff infrastructure for high-performance CPU cores across advanced process nodes. This role blends deep PD expertise with technical leadership to enable RTL-to-GDS execution and scalable flow adoption.

The position is remote-based out of the United States, with opportunities to influence multiple projects and teams while collaborating with

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