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Life Cycle Engineer - Aerospace

0 years

0 Lacs

bengaluru karnataka india

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

reliability design data support management analyze probability service analysis

Work Mode

On-site

Job Type

Full Time

Job Description

Role Summary

Life Cycle Engineer / Life Cycle Analyst


Key Responsibilities

  • Provide

    technical responses

    to

    airline operators

    and conduct

    event investigations

    and

    safety reviews

    .
  • Perform

    technical analysis

    and

    root cause analysis

    to support

    long-term solutions

    and

    corrective actions

    .
  • Participate in

    Event Management Boards

    and

    Safety Review Boards

    (e.g., Rolls-Royce) and present cases effectively.
  • Identify and implement

    process improvements

    and

    tools

    within the domain of expertise.
  • Conduct

    reliability analysis

    and

    lifecycle cost analysis

    using advanced tools to analyze

    failure trends

    and predict

    failure probability

    .
  • Apply

    probability distribution functions

    such as

    Weibull distribution

    for predictive modeling.
  • Influence

    design teams

    using

    lifecycle cost analysis

    to improve

    engine time-on-wing

    and

    shop visit cost models

    .
  • Utilize

    in-service experience

    and predictive methods to deliver

    service cost reductions

    .


Required Qualifications & Skills

  • Technical degree

    (AME / BE / B.Tech / ME / M.Tech) in

    Aerospace

    ,

    Aeronautical

    ,

    Mechanical Engineering

    , or equivalent industrial experience.
  • Strong knowledge of

    gas turbine functionality

    , components, and systems with full consideration of

    form, fit, and function

    .
  • Proficiency in

    Microsoft Excel

    and

    Word

    for data analysis and reporting.


Preferred Skills

  • Experience in

    reliability engineering

    ,

    failure analysis

    , and

    cost modeling

    .
  • Familiarity with

    probability distribution functions

    and

    predictive analytics

    .
  • Ability to work with

    cross-functional teams

    and influence

    design improvements

    .

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