BETA Technologies Reliability Modeling Engineer at BETA Technologies develops and applies quantitative reliability models for aircraft systems. The role supports design decisions and reliability growth through data analysis and reporting.
Responsibilities
Develop and maintain reliability models for aircraft systems and components
Establish and maintain fleet reliability data processes
Produce fleet reliability reports communicating performance trends
Develop reliability-growth models to measure improvement
Maintain internal part reliability database
Perform reliability trade studies
Support Accelerated Life Test planning
Support FMEA development and design-for-reliability decisions
Support root-cause investigations
Manage cross-functional communications of technical topics
Qualification
Bachelor’s degree in reliabilityExperience managingFamiliarity with reliability predictionAbove and Beyond QualificationsExperience using 217PlusExperience with Weibull analysis
Required
Bachelor’s degree in reliability, mechanical, electrical, computer science, mathematics / statistics, aerospace, systems, industrial, or a related engineering discipline
3 to 7 years of relevant engineering experience in reliability, modeling, test, systems, safety, quality, design, manufacturing, or fleet support; an equivalent combination of education, technical training, and directly relevant experience will be considered
Experience analyzing engineering data and developing quantitative models, predictions, or risk assessments
Experience managing, organizing, analyzing, or reporting large engineering data sets, such as fleet, operational, maintenance, test, or telemetry data
Familiarity with reliability prediction, statistical analysis, life-data analysis, accelerated testing, or reliability-growth concepts
Ability to communicate analytical results, assumptions, uncertainty, and technical recommendations clearly in writing and in cross-functional reviews
Must be available to work onsite in South Burlington, VT
Above and Beyond Qualifications:
Experience using 217Plus, MIL-HDBK-217, or comparable reliability-prediction methodologies
Experience supporting or participating in FMEA development and review
Experience with Weibull analysis, reliability block diagrams, fault-tree analysis, Monte Carlo simulation, Bayesian methods, or related reliability-modeling techniques