Current Product Reliability Engineer

DESCRIPTION

The Current Product Reliability Engineer plays a vital role in ensuring the reliability and durability of Cummins' products by applying sound statistical tools, warranty data analysis, and technical insights. This role focuses on reliability data analytics for various products, identifying failure trends, reporting to leadership, and supporting improvement initiatives. Working under the guidance of experienced team members, the engineer will contribute to customer satisfaction and product excellence by driving fact-based decisions and proactive problem-solving.

Key Responsibilities

• Apply engineering and scientific methods to analyze reliability data and ensure component and system reliability meets defined targets.
• Perform warranty data analysis, life data analysis, and reliability analytics using statistical methods and tools.
• Present analysis reports to leadership teams, explain problems identified, and recommend corrective actions.
• Support the development of methods, processes, and tools that quantify and enhance product reliability.
• Work collaboratively with cross-functional teams including Service, Quality, Finance, Marketing, and Design Engineering.
• Apply statistical and reliability analysis techniques to evaluate the impact of design changes on reliability.
• Support root cause analysis and corrective/preventive actions for reported product failures.
• Assist problem-solving teams in assessing reliability risks and defining mitigation strategies.
• Support the development and execution of reliability test plans, including accelerated testing and field data validation.

• Applies Principles of Statistical Methods: Uses descriptive statistics, probability distributions, inference, and regression analysis for data-driven decisions.
• Product Failure Mode Avoidance: Identifies and mitigates potential failure modes and causes to improve reliability.
• Product Failure Reporting and Corrective/Preventive Action Systems: Defines and supports rigorous failure analysis and problem resolution processes.
• Product Problem Solving: Applies systematic approaches to protect customers, resolve issues, and prevent recurrence.
• Product Reliability and Reliability Risk Management: Contributes to reliability planning and validation for new and current products.
• Quantitative Reliability Analysis: Applies statistical models to assess failure rates, compare alternatives, and validate improvements.
• Reliability Test Planning: Designs reliability test plans, including accelerated and field testing, to uncover and address unknown failure modes.
• Customer Focus: Builds strong relationships and delivers customer-centric solutions.
• Global Perspective: Approaches challenges with a broad, global view.
• Values Differences: Recognizes and appreciates diverse perspectives and cultures in problem-solving.

• Basic relevant work experience through internships, co-ops, or professional roles.
• Knowledge of engine and Genset components, functions, and failure modes.
• Experience in Service and Quality functions is desirable.
• Proficiency in MS Office (Word, PowerPoint, Excel).
• Advanced Excel skills including VBA programming and Power Pivot are highly desirable.
• Exposure to statistical software packages such as Minitab, Weibull++, Winsmith, JMP, and R is preferable.
• Knowledge of engine performance measurement techniques is an advantage.
• Awareness of warranty data analysis and life data analysis methods is preferable.
• Proven ability to handle large datasets and extract meaningful insights.

• Bachelor's or master's degree in engineering (Mechanical, Electrical, Industrial, or a related field) or equivalent technical discipline.
• Six Sigma Yellow Belt certification is required; Green Belt certification is preferred.
• This position may require licensing for compliance with applicable export controls or sanctions regulations.

• Knowledge of engine and Genset components, functions, and failure modes.
• Experience with MS Office tools (Word, PowerPoint, Excel) is preferred.
• Proficiency in Excel programming (VBA) and Power Pivot is desirable.
• Familiarity with statistical software packages (e.g., Minitab, Weibull++, Winsmith, JMP, R-Programming) is preferred.
• Knowledge of engine performance measurement is advantageous.
• Awareness of warranty data analysis and life data analysis is preferable.
• Monitor field performance, warranty, and return data to identify emerging reliability issues.
• Understanding of 7QC tools, 8D/7Step problem solving techniques, RCA, FTA, IDFEMA etc.
• Experience in service and quality functions is desirable.
• Strong analytical skills for handling large datasets and deriving meaningful conclusions.
• Six Sigma Yellow Belt certification required; Green Belt certification preferred.