CURRENT PRODUCT RELIABILITY ENGINEER

DESCRIPTION

Key Responsibilities:

• Applies engineering and/or scientific skills to technical processes with support from experienced team members.

• Participates as a team member, helps define/refine methods, and actively contributes towards team goals.

• Carries out engineering responsibilities using accepted methods and practical experience.

• Demonstrates good understanding and applies knowledge of an engineering discipline.

• Continues to develop capability to create engineering solutions through training and experience.

RESPONSIBILITIES

Qualifications:

• Master of Science, Bachelor of Science, or equivalent technical degree required.

• This position may require licensing for compliance with export controls or sanctions regulations.

Competencies:

• Applies Principles of Statistical Methods: Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference; models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions.

• Product Failure Mode Avoidance: Mitigates potential product failure modes by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins’ products.

• Product Failure Reporting and Corrective/Preventive Action Systems: Defines and leads a process to record, prioritize, and resolve product failures using cross-functional reviews, rigorous problem-solving methods, failed parts transfer processes, data management tools, and project management practices to effectively and efficiently improve the reliability of the product.

• Product Problem Solving: Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence.

• Product Reliability and Reliability Risk Management: Plans and manages critical reliability activities during new product development by preventing failures before hardware, detecting failures before the customer does, and improving products before production in order to release a reliable and durable product; evaluates key technical and program measures to assess the launch readiness of a new product using prescribed indicators, measures, risk scales, and methods of tracking to focus attention on metrics to reduce risk and improve reliability.

• Quantitative Reliability Analysis: Analyzes failure data from existing and/or new products by establishing failure rate models for use in assessing the feasibility of meeting reliability targets, comparing the reliability of product alternatives, estimating reliability and product coverage costs, identifying emerging issues, or verifying that improvements implemented have had the desired reliability improvement.

• Reliability Test Planning: Develops and analyzes a test plan acknowledging the relationship among reliability, sample size, distribution parameters, and confidence; develops system-level reliability test plan by considering schedule, number of units, applications, noises, and locations to find unknown failure modes to improve reliability; creates an accelerated test plan by increased use, overstress testing, or combining multiple stresses to build and extrapolate a model to estimate reliability under normal use conditions.

• Customer Focus: Building strong customer relationships and delivering customer-centric solutions.

• Global Perspective: Taking a broad view when approaching issues, using a global lens.

• Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.

QUALIFICATIONS

Skills and Knowledge:

• 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.

• 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.

Experience:

Basic relevant work experience desired, such as internship, co-op, or other pertinent work experience.

This is a Hybrid role.