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Reliability Modeling Engineer, In-Service Engineering

BETA Technologies

South Burlington, VTJob$120–145K/yrPosted 1 day agoStill listed today

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At a glance

Compensation
$120–145K/yr
Location
South Burlington, VT
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Reliability Modeling Engineer develops and maintains quantitative reliability models for aircraft systems and products, using design, supplier, test, maintenance, telemetry, and fleet data. The role produces predictions, risk assessments, trade studies, fleet reports, and reliability-growth models to inform product decisions throughout the life cycle. It also supports FMEA, design-for-reliability, accelerated life testing, and root-cause investigations. This is an onsite position in South Burlington, Vermont.

Skills & qualifications

RequiredNice to have

Skills

Service, nice to haveQuality Assurance, nice to haveStatistical Programming, nice to haveData Engineering, nice to haveFailure Mode and Effects Analysis (FMEA), nice to haveBatteries, nice to haveQuantitative Models, nice to haveMonte Carlo Simulation, nice to haveR, nice to haveAnalytics, nice to haveAviation, nice to haveAnalytics Tools, nice to haveAerospace, nice to haveMaintenance, nice to haveSQL, nice to havePython, nice to haveElectromechanics, nice to haveStatistics, nice to haveMatlab, nice to haveStatistical Analysis, nice to haveModeling, nice to haveOrganizing, nice to haveQuantitative Modeling, requiredEngineering Data Analysis, requiredLarge Dataset Management, requiredReliability Prediction, requiredLife-Data Analysis, requiredAccelerated Testing, requiredReliability-Growth Modeling, requiredAnalytical Communication, required217Plus, nice to haveMIL-HDBK-217, nice to haveFMEA, nice to haveWeibull Analysis, nice to haveReliability Block Diagrams, nice to haveFault-Tree Analysis, nice to haveBayesian Methods, nice to haveReliability Demonstration Testing, nice to haveEnvironmental Qualification, nice to haveDurability Testing, nice to haveHALT/HASS, nice to haveFleet Data Management, nice to haveField Data Management, nice to haveMaintenance Data Management, nice to haveWarranty Data Management, nice to haveService Data Management, nice to haveTelemetry Data Management, nice to haveReliability-Analysis Tools, nice to haveStatistical Software, nice to haveElectric Propulsion, nice to haveHigh-Voltage Systems, nice to haveElectromechanical Systems, nice to haveSafety-Critical Products, nice to have

Qualifications

Bachelor's in Related Engineering, required3+ Years Relevant Engineering Experience, requiredASQ Certified Reliability Engineer, nice to haveARP4761A, nice to haveSAE JA1011/JA1012, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave

Full job description

At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture.

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.

The specific vision abilities this role requires include close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus.

We're happy to talk through the specific requirements of this role during the interview process. The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.

Compensation $120,000—$145,000 USD

Build electric airplanes with us!

BETA offers a competitive Total Compensation package designed to support you now and as you grow with us. This role includes both Restricted Stock Units and Performance Stock Units for all full-time team members, so everyone shares in our success. You’ll have access to onsite healthcare in Vermont, comprehensive medical coverage, dental and vision, short- and long-term disability, and paid parental leave. We also take care of the everyday details with daily lunch provided, and yes—flight lessons are part of the experience, along with a range of additional perks that make work here genuinely rewarding.

We encourage all driven candidates to apply, even if they do not meet every listed qualification.

We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace.

Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.

How this job compares

Set against the 1,192 open Reliability Engineer jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$120–145K/yr
  • US median$121–185K/yr813 salary ranges

This range's midpoint, $133K, is 14% below the US median midpoint ($155K) — in the middle half of Reliability Engineer salary ranges across the US.

Openings
Olive Jobs lists 1,192 open Reliability Engineer jobs across the US. 2% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Experience
This posting asks for at least 7 years of experience; Reliability Engineer postings that state a minimum ask for 5 years at the median (916 postings).
Education
563 of the 1,192 open Reliability Engineer jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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