Advanced Packaging SI/PI Engineer
Etched · San Jose
Infrastructureonsitesenior$150k–$400k
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
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