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Etched

Designs chips and servers for running AI models

Power Optimization Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeCupertino, CA, USA

About the Job

Requirements

  • Experience optimizing power using dynamic voltage and frequency scaling, power-aware synthesis, glitch-power reduction techniques, and efficient power-delivery network implementation.
  • Experience with gate-level power optimization using VCD-based and/or FSDB-based power analysis.
  • Strong understanding of energy consumption, estimation, data movement, low-power design, and power-saving features.

Responsibilities

  • Develop chip power models from chip architecture, estimate chip power from microarchitecture, and devise power-saving techniques for product use cases.
  • Work with architecture, performance engineering, software engineering, ASIC design, and physical design teams to implement advanced power-management techniques for optimal power.
  • Estimate and analyze power consumption data at full-chip and unit levels, guide ASIC teams in improving power efficiency across functional units before and after silicon, and correlate estimated power consumption with measured power.

Desired Qualifications

  • Experience with digital design and optimization using industry-standard power-analysis tools and methodologies.
  • Experience leading power optimization at RTL and layout levels using PrimePower, VCD-based analysis, dynamic voltage and frequency scaling, clock-power reduction, clock gating, and glitch reduction techniques.

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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