Product Engineer, Silicon Validation

Highlights

• Lead silicon validation for large-format AI accelerator chips from first silicon.
• Drive yield learning and guard-band setup for frontier inference hardware.
• Co-design chips, racks, and software for best-in-class AI throughput.

What they offer

• Medical, dental, and vision packages with generous premium coverage
• $500 per month credit for waiving medical benefits
• Housing subsidy of $2.5k per month for those living within walking distance
• 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 product engineer who thrives on first-silicon bring-up and turning data into yield and quality wins. Hands-on, cross-functional collaborator excited to productize frontier AI accelerators in-person in San Jose.

Requirements

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field
• 5-10+ years hands-on experience in silicon validation, product engineering, and ATE test development
• Proven track record in yield optimization and DPPM reduction with quantifiable results
• Experience with silicon characterization including Fmax/Vmin and power/thermal validation
• High-volume manufacturing test experience with demonstrated production scale results
• Proficiency in yield and fail pareto analysis using JMP, Exensio, DataPower, or OptimalPlus
• Strong understanding of test program debugging, failure analysis correlation, and yield enhancement