Hardware Validation Engineer
Etched · San Jose
Infrastructureonsite$150k–$350k
At a glance
Highlights
- Validate system hardware for frontier AI inference with best-in-class throughput.
- Drive post-silicon characterization across power, thermal and system robustness.
- Own root-cause analysis from lab data to resolution across cross-functional teams.
What they offer
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2,500 per month for those living within walking distance of the office
- Relocation support for those moving to San Jose (Santana Row)
- Various wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in our office
- Unlimited compute budget subject to ROI justification
Ideal candidate
Experienced hardware debugger who loves hands-on lab work and digging into power and signal behavior to make complex systems robust. Collaborative and analytical, you thrive owning issues end-to-end with design and firmware teams.
Requirements
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field
- Proven experience with hardware validation, lab testing, and PCB-level debugging
- Strong understanding of power integrity and signal integrity principles and measurement techniques
- Familiarity with PCIe, I2C, and other common hardware interfaces and protocols
- Experience using lab equipment such as oscilloscopes, logic analyzers, spectrum analyzers, and power supplies
- Hands-on experience debugging hardware issues and performing root cause analysis
- Knowledge of power sequencing and microcontroller-based systems
- Strong analytical and problem-solving skills, including experience with scripting languages such as Python or Matlab
- Excellent communication skills and ability to work effectively in cross-functional teams
- 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
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