Advanced Packaging SI/PI Engineer
Etched · San Jose
CHECKED 8H AGO
Infrastructureonsitesenior$150k–$275k
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