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Advanced Packaging SI/PI Engineer

Etched · San Jose

CHECKED 8H AGO

Infrastructureonsitesenior$150k–$275k
Apply on the lab’s site ↗

At a glance

Highlights

  • Co-design chips, racks, software and manufacturing for frontier AI inference.
  • Own electrical performance across silicon, package and board for accelerators.
  • Drive power delivery and high-speed signaling for next-gen AI platform.

What they offer

  • Significant equity
  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • $2.5k per month housing subsidy for those living within walking distance
  • Relocation support for those moving to San Jose (Santana Row)
  • Daily lunch and dinner in office
  • Wellness benefits covering fitness, mental health, and more
  • Unlimited compute budget subject to ROI justification

Ideal candidate

A deeply creative electrical engineer with 8+ years shaping high-power accelerator platforms who thrives co-designing with cross-functional teams and pushing limits in power and signaling from first principles.

Requirements

  • Bachelor's or Master's in Electrical Engineering, Computer Engineering, or related field
  • 8+ years of SI/PI experience on high-performance ASIC, processor, or accelerator platforms
  • Proven experience defining and closing PDN for high-power silicon including decap and IR/EM analysis
  • Experience developing systems with high-speed interfaces like HBM, SerDes and D2D
  • Hands-on expertise with ANSYS HFSS/SIwave, Cadence Sigrity, or Keysight ADS
  • Experience with CoWoS or equivalent advanced packaging including interposer and substrate trade-offs
  • Track record correlating SI/PI test vehicles against silicon measurement during bring-up
  • Strong analytical and communication skills presenting risk and trade-offs to leadership
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 ↗