Reliability Engineer

font-family:”>Works closely with engineering and program teams to provide technical leadership in reliability analysis, identify product performance trends, and drive continuous improvement across design, manufacturing, and support environments. The role maintains and codes databases that track production and inservice performance of both commercial and military aerospace and transportation platforms, and collaborates with the Product Support/ILS Engineering Unit on reliability predictions, electricalstress and derating analysis, provisioningTfile analysis, maintainability analysis, and the generation of technical publications., 1. Reliability Program Delivery Manage the endtoend production of all reliability program analysis documents.

1. Proposal & Cost Analysis Review RFPs/RFQs to determine reliability requirements; provide inputs for cost and logistics projections.
2. Customer & Vendor Relations Proactively lead relationships with internal and external stakeholders to secure program opportunities and ensure alignment with customer expectations.
3. Logistics & Support Management Oversee budgets, schedules, and costaccounting for supportability and logistics tasks; develop and maintain support and services plans for all supported programs.
4. Design Influence & Logistics Innovation Lead systemdesign discussions focusing on logistics innovations that reduce LifeCycle Cost (LCC) and Total Ownership Cost (TOC).
5. Technical Tradeoffs Develop and review PSA, LPD, LCC, LORA, and supportsystem tradeoff analyses; ensure Engineering Change Proposals (ECPs) address total logistics impact.
6. Process Improvement Continuously improve reliability processes, ensuring compliance with ISO9001 and emerging standards such as ISO14224, EN497, and IEC61508.
7. CyberReliability & Functional Safety Assess reliability impact of cyberthreats and functional safety concerns; coordinate with cybersecurity teams to embed resilience in design.
8. Data Analytics & Automation Lead the adoption of Python/R, SQL, PowerBI, and automated failuremode tools to mine telemetry, build predictive models, and generate realtime dashboards.
9. Lean Six Sigma & Cost Analysis Apply DMAIC methodology to rootcause analyses, reduce MTBF improvements, and lower operational costs.
10. Professional Development Encourage pursuit of industry certifications (CRE, CRL) and continuous learning in emerging reliability domains.

• Bachelor s degree in Electrical, Mechanical, Systems Engineering, or related technical field.
• Minimum of 5years in reliability, maintainability, or supportability engineering; 10years for senior roles.
• Experience with ISO9001, ISO14224, EN497, IEC61508, or similar standards.
• Proven track record of using statistical tools (Weibull analysis, Pareto charts, MTBF/MTBUR modeling) and advanced Excel or equivalent analytical software.
• Familiarity with relational databases (Oracle, TOAD, BART, MIDAS) and modern cloudbased analytics platforms (AWS, Azure).
• Technical Proficiency Strong understanding of electronic components, circuits, and interfaces; ability to rapidly learn customer webbased applications for data mining and reporting.
• Analytical Thinking Ability to model failure distributions, conduct (F)MECAs, and leverage machinelearning algorithms for predictive reliability.
• Communication Excellent verbal and written communication, capable of producing technical publications, proposals, and presenting data to diverse audiences.
• Interpersonal Skilled at coordinating and negotiating with company personnel, customers, and suppliers; adept at leading crossfunctional teams.
• Decision Making Use sound judgment while complying with relevant policies, regulations, and laws.
• Process Orientation Strict attention to detail, robust documentation, and commitment to process compliance (ISO9001, ISO14224).

Preferred Education, Experience, & Skills

• BSEE 10 years of experience in In-Service Reliability or related engineering disciplines.
• Advanced degree in Reliability Engineering, Systems Engineering, or a related discipline.
• Experience applying Lean Six Sigma tools to reliability projects.
• Demonstrated ability to automate reliability analysis workflows using Python/R, PowerBI, or equivalent tools.
• Familiarity with ISO14224 data structures and exchange protocols, and with cyberreliability frameworks.
• Familiarity with Weibul Analysis and ability to model distributions using Weibul toolsAbility to recommend design changes for Reliability Improvement

Full-Time Salary Range: $88189 - $149922

Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.

Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.