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Power Integrity Engineer

Etched · San Jose

Infrastructureonsitesenior
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At a glance

Highlights

  • Own power integrity methodology for high-power PCB and system designs.
  • Ensure robust power delivery to high-performance ASICs across conditions.
  • Support bring-up and debug rail-level droop, ripple, and transient issues.

What they offer

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • Housing subsidy of $2,500 per month for those living within walking distance of the office
  • Relocation support for those moving to San Jose (Santana Row)
  • Various wellness benefits covering fitness, mental health, and more
  • Daily lunch and dinner in our office
  • Unlimited compute budget subject to ROI justification

Ideal candidate

A hands-on power integrity engineer who thrives owning methodology end-to-end. You sweat high-current delivery details to enable reliable frontier AI hardware.

Requirements

  • B.S. or M.S. in Electrical Engineering or a closely related discipline
  • 5+ years of hands-on PI experience on high-current, high-performance designs (ASIC/CPU/GPU power delivery, server boards, or accelerator platforms)
  • Proficiency with industry PI EDA tools (Ansys SIwave, Cadence Sigrity PowerDC/PowerSI/OptimizePI, or equivalent)
  • Strong understanding of target impedance methodology, decoupling network design, plane resonances, and anti-resonance mitigation
  • Experience with DC IR-drop analysis, current density limits, and via/plane current-carrying capacity
  • Working knowledge of VRM fundamentals: buck converter operation, multiphase design, transient response, and load-line/AVP concepts
  • Working knowledge of multi-layer PCB stack-up design and power plane allocation strategies
remote policy
fully in-person

Lab profile

About Etched

Building specialized AI chips and systems for frontier inference with best-in-class throughput and latency.

What they build

  • Sohu AI inference chip
  • AI racks and hardware systems
  • Inference software stack

Known for

  • Full-stack co-design of chips, racks, software and manufacturing
  • Best-in-class throughput and latency for prefill and decode
  • Inference-optimized architecture

Key facts

  • Backed by hundreds of millions from top-tier investors
More about Etched →
Apply on the lab’s site ↗

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