Reliability Modeling Engineer - In-Service Engineering

The Reliability Modeling Engineer develops, maintains, and applies quantitative reliability models for aircraft systems and products. This 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 role 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, VT.

How you will contribute to revolutionizing electric aviation:

• 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 that communicate 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 internal part reliability database
• Perform reliability trade studies to evaluate 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 a variety of stakeholders and audiences

Minimum Qualifications:

• 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
• 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

Physical Demands and Work Environment:

The physical demands and work environment described below are representative of what a Team Member must meet to successfully perform the essential functions of this role. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. If you need an accommodation at any point, during the hiring process or on the job, please let us know. We're glad to work with you.

Depending on the role, the work may involve:

• Indoor and outdoor work in a range of conditions, including hot, cold, wet, and humid environments.
• Movement throughout the day, including varied amounts of walking, standing, sitting, bending, reaching, stooping, kneeling, and crouching.
• Climbing ladders and stairs.
• Balancing, meaning keeping steady to prevent falls while walking, standing, or crouching on narrow or slippery surfaces.
• Handling objects, including seizing, holding, grasping, turning, picking, and punching.
• Lifting, carrying, pushing, and pulling up to 50 pounds.
• Safely operating material handling equipment, such as forklifts and pallet jacks.
• Working with small parts and components (some positions).
• Working around variable noise levels, fumes or airborne particles, and hazardous chemicals. These conditions require personal protective equipment (PPE), such as face protection (safety glasses, goggles, face shields, respirators), gloves, and hearing protection.
• Office work using standard office equipment, including a computer.
• Travel by air or automobile.
• Working varying shifts and hours to keep operations running smoothly across the organization.

Compensation 120000 - 145000 USD