Reliability Modeling Engineer, In-Service Engineering

BETA Technologies • South Burlington, VT

1d • $120,000 - $145,000 • Onsite

About The Position

The Reliability Modeling Engineer develops, maintains, and applies quantitative reliability models for aircraft systems and products. The role translates design, supplier, test, maintenance, telemetry, and fleet data into reliability predictions, risk assessments, trade studies, fleet reliability reporting, and reliability-growth models that inform product decisions throughout the life cycle. The engineer supports FMEA and design-for-reliability activities, as well as commercial decisions, by providing quantitative analysis and data-driven insights. This is an onsite position based in South Burlington, Vermont.

Requirements

• 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 datasets, 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 clearly communicate analytical results, assumptions, uncertainty, and technical recommendations in writing and in cross-functional reviews.
• Availability to work onsite in South Burlington, Vermont.

Nice To Haves

• Experience using 217Plus, MIL-HDBK-217, or comparable reliability-prediction methodologies.
• Experience supporting or participating in FMEA development and review.
• ASQ Certified Reliability Engineer (CRE) certification.
• Experience with Weibull analysis, reliability block diagrams, fault-tree analysis, Monte Carlo simulation, Bayesian methods, or related reliability-modeling techniques.
• Experience analyzing accelerated life testing, reliability demonstration testing, environmental qualification, durability testing, HALT/HASS, or fleet operational data.
• Experience with fleet, field, maintenance, warranty, service, or telemetry-data management and reporting.
• Proficiency with reliability-analysis tools, statistical software, SQL, Python, MATLAB, R, or equivalent analytical tools.
• Experience with aviation, aerospace, electric propulsion, batteries, high-voltage systems, electromechanical systems, or other safety-critical products.
• Familiarity with ARP4761A, SAE JA1011/JA1012, or related safety, reliability, and maintenance-analysis standards.

Responsibilities

• Develop and maintain reliability models for aircraft systems, subsystems, components, and assemblies using prediction standards, supplier, research, test, maintenance, telemetry, and fleet data.
• Establish and maintain processes for fleet reliability data, including failures, removals, maintenance events, operating exposure, telemetry, corrective actions, and repeat discrepancies.
• Produce fleet reliability reports communicating performance trends, reliability metrics, emerging risks, model updates, and recommended actions.
• Develop reliability-growth models to measure improvement over time, identify priority failure modes, and support reliability-improvement decisions.
• Develop and maintain an internal part reliability database.
• Perform reliability trade studies evaluating design alternatives, component selection, redundancy strategies, maintenance concepts, and test approaches.
• Support Accelerated Life Test planning by defining relevant duty cycles, stress profiles, sample sizes, performance metrics, and data-collection methods.
• Support FMEA development and review by providing reliability-model inputs, failure-rate estimates, quantitative analysis, and data-based recommendations.
• Support design-for-reliability decisions by communicating reliability risks, observed failure trends, and recommended mitigations to responsible engineering teams.
• Support root-cause investigations by analyzing failure patterns and differences between predicted and observed performance.
• Manage cross-functional communications of technical topics with varied stakeholders and audiences.

Benefits

• Restricted Stock Units and Performance Stock Units for full-time team members.
• Onsite healthcare in Vermont.
• Comprehensive medical coverage.
• Dental and vision coverage.
• Short- and long-term disability coverage.
• Paid parental leave.
• Daily lunch provided.
• Flight lessons.
• Additional perks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level