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- $101,300 to $129,100 USD / year
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WJ
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Evaluate instructional methods and programs using student learning evidence, implementation data, and research; recommend improvements and monitor whether changes produce stronger outcomes.
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projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
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BETA Technologies

Reliability Modeling Engineer, In-Service Engineering

South Burlington, VT, United States

$120,000 - $145,000 USD

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Job details

Pay: $120,000 - $145,000 USD
Posting language: English
Posted: Nov 9, 2026

Original 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.

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More about this job

Skills

Research
Manage processes
Computer science
Statistics
Reporting
Data analysis
Monte Carlo simulation
Data management
SQL
Python
The MathWorks MATLAB
R
Material handling
Personal protective equipment
Office equipment

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