Bachelor's degree in Mechanical Engineering, Electrical Engineering, Materials Science, Reliability Engineering, Physics, Applied Mathematics, or a related technical field, or equivalent practical experience.
12 years of experience in hardware reliability engineering, product development, or a related technical field.
5 years of experience in a technical leadership or management role, leading engineering teams.
5 years of experience with statistical analysis, data modeling, and numerical methods applied to hardware systems (e.g., Weibull analysis, Monte Carlo simulations, FMEA, FTA).
Experience with high-volume, high-reliability hardware in industries such as servers, consumer electronics, automotive, or aerospace.
Preferred qualifications:
Master's degree or PhD in a relevant engineering or scientific discipline.
Experience with large-scale data analysis platforms and programming languages (e.g., Python, R, SQL) for numerical modeling and data visualization and understanding of server hardware architecture, components (e.g., CPUs, memory, storage, networking), and data center environments.
Experience developing and implementing reliability test plans and standards (e.g., JEDEC, Telcordia).
Familiarity with machine learning applications for predictive maintenance and anomaly detection in hardware.
Ability to drive cross-functional initiatives and influence stakeholders.
Excellent communication skills, able to articulate complex technical concepts.