Hiring: Physical Design CPU Methodology Engineer Company: Tenstorrent Location: Santa Clara, CA Job Posted Time: 2026-09-11 12:54:08 Employment Type: Remote Target Skills & Keywords : ASIC, AutoCAD, CAD, EDA, Node.js, Perl, Python, SOC About the job Experience: •10+ years of ASIC/SoC/CPU experience, ideally focused on high-performance CPUs or similarly complex digital designs. Required Skills: •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. •How to build reliable, explainable, production-ready data infrastructure, including feature collection, validation, and signoff integration. •How to evaluate AI-enabled EDA capabilities and determine where data-driven optimization delivers measurable value over conventional heuristics. •How to scale CPU methodology, automation, and AI/ML deployment across advanced-node programs, foundries, teams, and the broader organization. Qualifications: •You are an experienced Physical Design Engineer with 10+ years of ASIC/SoC/CPU experience, ideally focused on high-performance CPUs or similarly complex digital designs. •You bring deep expertise across RTL-to-GDS implementation and signoff, including timing closure, power optimization, SI, EM/IR, extraction, and physical verification. •You have built or owned physical design methodology, automation, or CAD flows and are highly skilled in Tcl, Python, Perl, or similar scripting languages. •You are a technical leader who can influence across teams, mentor engineers, and drive standards across geographically distributed organizations. Compensation: •$100,000 - $500,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!