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Hardware Validation Engineer

Etched · San Jose

Infrastructureonsite$150k–$350k
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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
More about Etched →
Apply on the lab’s site ↗

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