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Etched

Designs chips and servers for running AI models

Physical Design Engineer

Silicon & ASIC DesignUpdated on Nov 8
Full-time$150k - $375k /yr

About the Job

Requirements

  • At least 5 years of prior experience with physical design.
  • Knowledge of tools, flows, and design methodology from RTL synthesis through GDSII sign-off.
  • Experience with back-end design and timing closure on advanced process nodes of 5 nm and below.
  • Experience with Cadence Innovus and Genus, or Synopsys ICC2 and Fusion Compiler, for automated RTL-to-GDSII flows.
  • Experience with sign-off tools such as PrimeTime, Tempus, or Voltus.
  • Experience with UPF-based low-power design methodology, power verification, synthesis, scan insertion and ATPG, formal verification, floorplanning, placement, clock-tree synthesis, routing, IR drop, and electromigration/antenna analysis.

Responsibilities

  • Own block-level implementation and verification, drive timing closure and PPA optimization, supervise third-party design work, and improve design flows and iteration speed.
  • Run physical-design flows to close blocks, support ASIC infrastructure, automate physical-design flows, and improve CAD infrastructure.
  • Collaborate with RTL designers and provide physical-design feedback to improve PPA.
  • Drive dashboards that show project convergence related to physical design.
  • Optimize tool flows and work with EDA vendors to incorporate the latest features.
  • Be accountable for block-level closure.
  • Supervise outsourced physical-design work performed by a third-party service.

Desired Qualifications

  • Familiarity with modern machine-learning and large language model architectures.
  • Ability to program with Python or another scripting language.
  • Familiarity with AI tools for programming and coding.
  • Startup experience or comfort working in fast-paced environments.

About the Company

Etched

Designs chips and servers for running AI models

Etched designs AI chips and the server racks built around them for AI companies and cloud providers, focusing only on inference, the work of running trained models to answer requests. In 2024, it unveiled a chip hard-wired to run only transformers, the type of AI model behind ChatGPT, after betting at its founding that they would dominate AI. Etched develops its chips, racks, and software together, and each rack links many chips through a shared pool of fast memory so very large models with long inputs can answer quickly. It earns money by selling these complete systems rather than individual chips. Etched was founded in 2022 and is based in San Jose, California.

Company size
201-500
Company stage
Series D
Total funding
$1.6B
Headquarters
San Jose, CA
Founded
2022

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