Senior Principal Reliability Engineer — Hybrid, Data-Driven

Ampere Computing; Santa Clara (CA); Hybrid; USD 226,000 - 339,000; Full time

Benefits offered by this job

Premium medical insurance

Dental insurance

Vision insurance

401K retirement plan

Unlimited flextime

10+ paid holidays

Job summary

Ampere Computing is seeking a Sr. Principal Reliability Engineer to lead reliability strategies for high‑power CPUs. You will own burn‑in, HTOL, post‑silicon validation, and data‑driven decisions across engineering disciplines.

The role requires a deep quality mindset, cross‑functional leadership, and the ability to drive continuous improvement in a fast‑paced environment. Strong statistical tools and modeling skills are essential.

Qualifications

• Bachelor’s degree in Electrical Engineering, Materials Science, Physics, or a related field.
• 12+ years of progressive reliability engineering experience for semiconductors.
• Experience with burn-in, HTOL, and data-driven reliability modeling.
• Ability to lead complex reliability projects from concept to production.
• Strong communication and cross-functional leadership skills.

Responsibilities

• Serve as lead reliability authority across all engineering disciplines.
• Architect and implement burn-in and HTOL qualification plans.
• Lead complex stress experiments and manage timelines/resources.
• Collaborate with DFT and ATE teams to test reliability features.
• Perform advanced statistical analysis to identify trends and validate results.
• Drive post-silicon validation strategies with risk assessments.

Skills

Statistical analysis

Reliability modeling

Project management

Cross-functional leadership

Education

Bachelor’s degree (Electrical Engineering / Materials Science / Physics)

Master’s or Ph.D. preferred

Tools

JMP

R

Python

Job description

Ampere Computing is seeking a Sr. Principal Reliability Engineer to lead reliability strategies for high‑power CPUs. You will own burn‑in, HTOL, post‑silicon validation, and data‑driven decisions across engineering disciplines.

The role requires a deep quality mindset, cross‑functional leadership, and the ability to drive continuous improvement in a fast‑paced environment. Strong statistical tools and modeling skills are essential.