AI/ML-Driven Physical Design Engineer

Tenstorrent

Santa Clara (CA)

Hybrid

USD 100,000 - 500,000

Full time

14 days+

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Job summary

A leading AI technology firm is seeking a Physical Design Engineer to tackle complex design challenges and enhance methodologies. You will lead the development of RTL-to-GDS flows and implement AI/ML-driven solutions. Ideal candidates will have over five years of experience in CAD methodologies, proficiency with EDA tools like Fusion Compiler, and strong programming skills. The position offers a hybrid work environment between Santa Clara, CA, Austin, TX, or Fort Collins, CO, with competitive compensation ranging from $100k to $500k.

Qualifications

  • 5+ years in Physical Design CAD methodology at advanced nodes.
  • Track record of improving PPA and/or runtime on low-power designs.
  • Experience with industry-standard EDA tools across various flows.

Responsibilities

  • Lead efforts solving complex physical design challenges across projects.
  • Develop RTL-to-GDS methodologies including floorplanning and synthesis.
  • Architect AI/ML-driven solutions in production flows.

Skills

Physical Design CAD methodology
Improving PPA and runtime
EDA tools (e.g., Fusion Compiler)
Strong Python/Tcl skills
Experience in ML frameworks

Education

BS in Electrical or Computer Engineering

Tools

Fusion Compiler

Job description

A leading AI technology firm is seeking a Physical Design Engineer to tackle complex design challenges and enhance methodologies. You will lead the development of RTL-to-GDS flows and implement AI/ML-driven solutions. Ideal candidates will have over five years of experience in CAD methodologies, proficiency with EDA tools like Fusion Compiler, and strong programming skills. The position offers a hybrid work environment between Santa Clara, CA, Austin, TX, or Fort Collins, CO, with competitive compensation ranging from $100k to $500k.
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