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Advanced Packaging SI/PI Engineer

Etched · San Jose

Infrastructureonsitesenior$150k–$400k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own electrical performance of AI accelerator platform across silicon to board.
  • Co-design chips, racks and software to power frontier inference workloads.
  • Push what is possible in power delivery and high-speed signaling.

What they offer

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • Housing subsidy of $2.5k per month for those living within walking distance
  • 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

Deeply creative first-principles engineer with 8+ years shaping high-power platforms who loves co-design and pushing power and signaling limits. Collaborative communicator who thrives in fast-paced, in-person hardware teams.

Requirements

  • Bachelor's or Master's degree 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
  • Experience developing systems with high-speed interfaces like HBM, SerDes and D2D interfaces
  • 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 designing and correlating SI/PI test vehicles against silicon measurement
  • Strong analytical and communication skills comfortable presenting to cross-functional 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 ↗

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