Physical Design Methodology Engineer, AI HW IP

Tenstorrent
Toronto, Ontario, Canada
Full Time
Hybrid
Mid
USD 100,000 – 500,000
Technology Industrial & Engineering

Posted 1 day ago

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Excellent 4.7

Job summary

This role involves developing, deploying, and managing the RTL-to-GDSII methodology for physical design in AI hardware IP, focusing on advanced node technology, automation, and flow optimization. Candidates should have experience with industry-standard tools, scripting, and physical design methodologies, working closely with design and EDA teams.

Responsibilities

This role develops, deploys, and maintains the RTL-to-GDSII physical design methodology for AI hardware IP. The engineer will automate workflows to improve PPA exploration and ensure production-ready IP delivery.

Qualifications

Clock tree synthesis EDA tools Flow development Low-power design RTL design Scripting languages Signoff (EM/IR, DRC/LVS)

Candidates must have 5+ years of experience in physical design or CAD methodology with expertise in industry-standard EDA tools. Proficiency in scripting languages like Tcl, Python, or Perl and knowledge of advanced node methodology are required.

English

Benefits

Competitive compensation package

Company

Tenstorrent

Tenstorrent

linkedin
Computer Hardware Manufacturing
Location
Toronto, Ontario, Canada

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Excellent 4.7
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