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Etched

Designs chips and servers for running AI models

Physical Design Engineer - Block Level, Subsystem Implementation

Silicon & ASIC DesignUpdated on Nov 8
Full-timeSan Jose, CA, USA$150k - $375k /yr

About the Job

Requirements

  • At least 5 years of physical design experience; the posting also describes 10+ years as within the experience profile.
  • Experience with 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 5nm and below.
  • Experience with Cadence Innovus and Genus or Synopsys Fusion Compiler 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 EM/antenna analysis.
  • Ability to use Tcl, Python, or Perl for flow automation and debugging.

Responsibilities

  • Own block-level and/or subsystem physical design end to end, including floorplanning, synthesis, placement, clock tree synthesis, and routing through GDSII sign-off.
  • Drive block-level timing closure across all corners and modes, including constraint development, static timing analysis debugging, and functional and timing ECO implementation.
  • Close block-level sign-off across electromigration, IR drop, RC extraction and correlation, and physical verification including DRC, LVS, and antenna checks.
  • Generate abstracts, views, and timing budgets for clean hierarchical integration of blocks into the top level.
  • Collaborate with RTL designers and provide physical-design feedback to improve PPA.
  • Continuously improve the PPA of owned blocks and contribute learnings to the shared RTL-to-GDSII flow.
  • Supervise physical-design work outsourced to third-party services and be accountable for the quality and closure of delivered blocks.

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 or 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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