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AI/ML Physical Design Flow Engineer

Tenstorrent
August 27, 2026
Full-time
Remote friendly (Santa Clara, California, United States)
Worldwide
$100,000 - $500,000 USD yearly
Physical Design Jobs, Level - Mid-Career

Job Title

AI/ML Physical Design Flow Engineer

Role Summary

Tenstorrent is hiring a Physical Design Engineer to architect, integrate, and deploy AI/ML-driven solutions into production RTL-to-GDS physical design flows across advanced process nodes. The role partners with verification, timing, extraction, DFT, and EDA vendors to improve PPA and runtime through custom CAD tools and ML-enabled methodologies.

Experience Level

Mid-level β€” typically candidates with around 5+ years of hands-on physical design / CAD methodology experience; the company may consider other levels during interview and will align offers to assessed level.

Responsibilities

Deliver end-to-end physical design methodologies and deploy ML-driven optimizations into production flows.

  • Lead cross-functional efforts to solve complex physical design challenges across IPs and projects.
  • Develop and enhance RTL-to-GDS flows: floorplanning, synthesis, P&R, STA, signoff, and assembly.
  • Architect and integrate AI/ML-driven solutions to improve engineering efficiency, turnaround time, and quality of results (QoR).
  • Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques.
  • Collaborate closely with verification, extraction, timing, DFT groups and EDA vendors to validate and deploy changes.
  • Design, validate, and monitor ML model deployment in production CAD environments.

Requirements

Must-have technical skills and constraints for the role.

  • 5+ years practical experience in Physical Design CAD methodology at advanced nodes (synthesis, P&R, STA, signoff, hierarchical flows).
  • Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs.
  • Hands-on experience with industry-standard EDA tools (example: Fusion Compiler) across the full physical design flow.
  • Strong scripting and data skills: Python and Tcl.
  • Experience designing or deploying data-driven or ML-based optimizations; familiarity with ML frameworks (PyTorch, TensorFlow) is desirable.
  • Ability to drive complex projects independently and collaborate cross-functionally.
  • Must be eligible to access U.S. export-controlled technology; employment may be contingent on citizenship/permanent residency or ability to obtain required government authorization.

Education Requirements

BS in Electrical Engineering or Computer Engineering is stated as the baseline, or equivalent practical experience. The posting also describes a candidate profile with ~5+ years of physical design/CAD methodology experience.


About the Company

Company: Tenstorrent

Headquarters: Austin, Texas, United States

Tenstorrent is a technology company focused on designing innovative computing solutions. They are known for their expertise in the development of advanced hardware, including ASICs and SoCs, aimed at enhancing performance and efficiency in various applications.

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Date Posted: 2026-08-26