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Etched

Designs chips and servers for running AI models

ASIC Timing Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeCupertino, CA, USA

About the Job

Requirements

  • BS in Electrical Engineering or Computer Engineering with 5+ years of experience, or MS with 2+ years of experience in Timing and Static Timing Analysis
  • Hands-on experience in full-chip/sub-chip Static Timing Analysis(Fishtail), Lint, Clock Domain Crossing(CDC), RDC checks, and timing convergence, including timing constraints generation and management
  • Expertise in analyzing and fixing timing paths through Engineering Change Orders(ECOs), with a focus on crosstalk and noise analysis
  • In-depth knowledge of Register-Transfer Level to netlist, industry-standard Static Timing Analysis and timing convergence tools
  • Familiarity with deep sub-micron process nodes, including modeling and converging timing in these nodes
  • Background in domain-specific Static Timing Analysis and timing convergence, particularly with GPUs, CPUs, DPUs/Network processors, or System on Chips
  • Experience in methodology and/or flow development, as well as automation

Responsibilities

  • Drive timing analysis and closure of chips at block, cluster, and full chip level
  • Collaborate with Physical Design, Design for X (DFX), Clocks, and other teams to develop timing closure strategies, create timing constraints, and ensure timing and power convergence, as well as Engineering Change Order implementation
  • Enhance timing convergence flows in partnership with our methodology teams
  • Contribute to Design for Test (DFT) logic understanding and assist with DFT timing closure for various modes, such as scan and Built-In Self-Test (BIST)
  • Work on timing closure of digital logic/macros in Analog/Mixed-Signal (AMS) designs/IPs, ensuring all aspects are addressed

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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