Cummins Inc. Electronic Warranty Leader-Senior in Juarez, Mexico
Electronic Warranty Leader-Senior
“At Cummins we are dedicated to promoting diversity in the workplace, we provide equal employment opportunities regardless of race, gender, disability national origin, age, religion or sexual orientation”
Electronic Warranty Leader- Senior IRC509900
Education, Licenses, Certifications
Bachelor’s Degree in Electronic Engineering (Is a must), master degree is a plus.
4 years or more in the specific function
Troubleshooting electronics to the component level, SMT Rework skills necessary, computer literate (A must), proficient in the use of MS Office /Minitab, preferably familiar with the use of electronics service tools\
- , use of electronic equipment, understand the fundamentals of reliability, must be able to interpret schematics and diagrams, proficient in applied statistics, familiar with IATF 16949, Knowledge in problem solution techniques (7 steps, 8D´s, PDCA, etc.)
- Tools: Function generators, Signal generators, Spectrum analyzers, Signal analyzers, Pattern generator, Protocol analyzer, Network analyzer, Transistor tester, soldering equipment (solder iron, hot air tools), oscilloscopes, multimeters.
Responsibility for several components of a project or a complex.
Warranty Analysis coordination and reporting.
Failure diagnosis and resolution.
PQC Project Coordination.
Warranty Lab Supervision.
Customer Complaint Response.
Direct interaction with Customers and Suppliers on technical issues.
PQC Level 2 & 3 preparation and presentation.
Support the product teams on analysis of RFT & internal failures.
Support/Lead the teams on complex problem resolution.
Support VPI on New Project Introduction.
Global perspective - Taking a broad view when approaching issues, using a global lens.
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 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 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.
Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference (population and sample, confidence intervals, and hypothesis testing); models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions.
Advanced Business Level (fluent proficiency)
Primary Location Mexico-Chihuahua-Ciudad Juárez-Mexico, Juarez, Fuel Systems Business
Job Type Experienced - Exempt / Office
Recruitment Job Type Exempt - Experienced
Job Posting Jul 16, 2020, 4:39:38 PM
Unposting Date Ongoing
Req ID: 20000144