Principal Reliability Scientist

Join Amazon as a Principal Reliability Scientist

Amazon is seeking a highly skilled Principal Reliability Scientist to join our Worldwide Fulfillment Design & Engineering Team. This role is perfect for someone who thrives in a fast-paced, iterative environment and is passionate about driving innovation through scientific inquiry.

Key Responsibilities

• Failure-Based Approach: Develop and implement both analytical and empirical methods for identifying and evaluating reliability risks during facility design, MHE selection, and deployment.
• Design for Reliability (DfR): Lead research activities related to DfR initiatives for warehouses, develop predictive modeling techniques, and test plans.
• AI-Powered Solutions: Lead AI-powered reliability solutions that combine data, machine learning, and domain knowledge to anticipate reliability risks, increase uptime, manage CapEx and OpEx costs, and improve productivity.
• Industry Best Practices: Identify gaps in current reliability standards and guidelines, and lead comprehensive research to redefine industry best practices based on solid scientific foundations.
• Cross-Disciplinary Learning: Continuously strive to gain in-depth knowledge of your profession and learn about intersecting fields such as robotics and mechatronics.
• Site Assessments: Travel to various sites to perform thorough assessments and gain in-depth operational feedback, approximately 25%-50% of the time.
• Executive Communication: Regularly communicate with executive management regarding status, risks, and operational program metrics.

Basic Qualifications

• PhD or Master’s degree with 10+ years of relevant work in Reliability Engineering or related field.
• Experience in Automotive, Industrial, or High-Tech hardware Reliability Engineering roles.
• Bachelor's degree in Engineering / Science or related field.
• Knowledge of reliability prediction software such as Weibull ++.
• Broad range of failure analysis skills, including mechanical and electrical reliability tests of Automotive, Industrial products.

Preferred Qualifications

• Experience developing new analytical and test reliability methods in complex product development environments.
• Experience in defining and structuring reliability-based research.

Why Amazon?

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $170,500/year in our lowest geographic market up to $294,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

This position will remain posted until filled. Applicants should apply via our internal or external career site.