2 Winsmith Jobs

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. 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. 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.

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. RESPONSIBILITIES Competencies 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. Skills and Experience 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. QUALIFICATIONS Qualifications Bachelors or masters 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. Desired Candidate Profile 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..