DFT (Design For Test) Engineer
Etched · San Jose
CHECKED 6H AGO
Infrastructureonsitesenior$150k–$275k
At a glance
Highlights
- Build testability for inference-focused chips powering frontier AI workloads.
- Co-design chips, racks, and software for best-in-class throughput and latency.
- Drive silicon bring-up and debug from design phase through production.
What they offer
- Medical, dental, and vision with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy for living within walking distance of the office
- Relocation support to San Jose (Santana Row)
- Wellness benefits covering fitness and mental health
- Daily lunch and dinner in office
- Unlimited compute budget subject to ROI justification
Ideal candidate
A seasoned DFT engineer who thrives on cross-functional collaboration and deep debug challenges, motivated by improving product quality, yield, and reliability for frontier AI hardware.
Requirements
- 10+ years of experience in DFT engineering with successful ASIC or SoC test implementations
- Deep understanding of digital design, verification methodologies, and DFT implementation
- Proficiency in SystemVerilog and EDA tools including Synopsys DFT Compiler, Cadence Encounter Test, Mentor Tessent
- Scripting and automation experience with Python, Perl, or TCL
- Track record leading DFT initiatives across multiple generations in high-performance or high-volume environments
- Strong analytical and debugging skills with cross-team collaboration ability
- Excellent communication and collaboration skills
- Bachelor's in Electrical Engineering, Computer Engineering or related field (Master's preferred)
- remote policy
- Fully in-person, no remote
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