ECAD Librarian
Etched · San Jose
CHECKED 6H AGO
Infrastructureonsitesenior$150k–$275k
At a glance
Highlights
- Manage ECAD libraries powering frontier AI inference hardware designs.
- Ensure accurate, manufacturable component data for chips and racks.
- Partner across design and manufacturing to prevent build errors.
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 those moving to San Jose (Santana Row)
- Wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in office
- Unlimited compute budget subject to ROI justification
Ideal candidate
Detail-driven hardware collaborator who takes pride in accurate, reliable component data and thrives partnering with engineers and manufacturing to keep complex designs manufacturable.
Requirements
- Bachelor's degree in Electrical Engineering or related field or equivalent professional experience
- 5+ years of experience in ECAD library management, including creating Allegro schematic symbols and PCB footprints
- Expertise in Allegro PCB Editor and related tools for symbol and footprint creation
- Strong understanding of IPC standards for PCB footprint creation, JEDEC package standards, and package tolerances
- Good understanding of part life cycle, EOL parts, and RoHS/EU compliance
- Experience working directly with manufacturing teams for manufacturability and yield
- Experience with version control systems for ECAD libraries, such as Git or PLM software
- Excellent attention to detail managing complex libraries with accuracy and efficiency
- Strong communication and collaboration skills working cross-functionally
- Experience with scripting languages (e.g., SKILL for Allegro) to automate library management
- Knowledge of BOM management and integration with ECAD libraries
- 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