SI/PI Engineer
Etched · San Jose
CHECKED 9H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Build hardware for frontier intelligence focused on inference throughput and latency.
- Own SI/PI methodology for high-speed PCB and system designs end to end.
- Co-design chips, racks, software and manufacturing for best-in-class performance.
What they offer
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- $2,500 per month housing subsidy for those living within walking distance of the office
- Relocation support for moving to San Jose (Santana Row)
- Wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in the office
- Unlimited compute budget subject to ROI justification
Ideal candidate
A hands-on hardware engineer who loves owning electrical margins end-to-end and correlating simulations to lab measurements to push inference performance.
Requirements
- B.S. or M.S. in Electrical Engineering or closely related discipline
- 5+ years of hands-on SI/PI experience on high-speed designs (>1 Gbps serial links or DDR4/5 and HBM3/4 memory interfaces)
- Proficiency with SI/PI EDA tools (Cadence Sigrity, Ansys SIwave/HFSS, Keysight ADS, or equivalent)
- Strong understanding of transmission line theory, return-loss, insertion-loss, crosstalk, eye-diagram analysis, and jitter decomposition
- Experience with PDN modelling, target impedance methodology, and DC IR analysis
- Working knowledge of multi-layer PCB stack-up design and controlled-impedance trace routing
- Hands-on lab skills with VNA, TDR, BERT operation, and oscilloscope probing
- 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