Hardware Validation Engineer
Etched · San Jose
CHECKED 7H AGO
Infrastructureonsite$150k–$275k
At a glance
Highlights
- Validate system hardware for frontier AI inference infrastructure.
- Ensure robust power and signal margins across all interfaces.
- Drive post-silicon characterization for best-in-class throughput.
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
Hands-on, analytical engineer who thrives in the lab debugging complex systems and collaborating across teams to ensure robust, high-performance AI hardware.
Requirements
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or 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