Substrate IC Package Layout Design Engineer
Etched · San Jose
InfrastructureonsiteSenior
At a glance
Highlights
- Design large >50mm IC substrates for high-power AI processors.
- Co-design chips, racks and software for frontier inference hardware.
- Optimize power delivery for >700W custom silicon solutions.
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
- Wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in office
- Unlimited compute budget subject to ROI justification
Ideal candidate
Veteran package designer who thrives on pushing power and signal limits for frontier AI hardware. Collaborative, analytical builder excited to co-design with silicon and systems teams in-person.
Requirements
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field
- 10+ years of experience in IC substrate layout design for high-performance processors or accelerators
- Extensive experience with large substrate packages (>50mm) and complex high-density layouts
- Proven experience with high-power (700W+) package designs and robust power delivery networks
- Expertise in high-speed signaling design (>50GHz) and mitigating signal integrity challenges
- Strong experience with CoWoS interposer design
- Advanced proficiency in Allegro Package Designer
- Deep understanding of SI/PI principles for package-level design
- Strong analytical skills and ability to work in fast-paced, cross-functional team
- 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
Posted · Last seen