Associate Equipment & Tool Engineer - Asset Reliability Engineer

Position Overview:

Boeing Talent Acquisition is currently looking for Associate Equipment & Tool Engineer - Asset Reliability Engineer to join the Production Engineering team in Bangalore India. These positions will focus on supporting the Boeing Commercial (BCA) business organization.

A successful candidate will understand the importance of collaboration as these positions will focus on working directly with the Production Engineering Teams to implement the Equipment & Tool Design solutions.

Job Description:

The Equipment & Tool Engineer Asset Reliability Engineer is tasked with ensuring the reliability and performance of productions asset across various Boeing sites. This role involves analyzing equipment data, including performance metrics, to identify potential issues and develop strategies aimed at enhancing equipment reliability, availability, and maintainability. A strong understanding of asset repair, part interchangeability, maintenance, and retrofit processes is essential. This includes familiarity with procedures for addressing asset non-conformances, conducting root cause analyses, and implementing corrective actions. Additionally, the engineer will offer real-time support for troubleshooting equipment-related problems and their resolutions. This role will focus on ensuring the reliability and efficiency of production assets through effective analysis, testing, and maintenance strategies, leveraging data analytics and machine learning techniques.

Job Responsibilities:

• Develop and implement reliability engineering practices to enhance the performance and lifespan of production equipment. Conduct reliability assessments, including MTBF (Mean Time Between Failures) and MTTF (Mean Time To Failure) studies.
• Design and implement predictive and preventive maintenance strategies using methodologies such as Reliability-Centered Maintenance (RCM), Failure Mode and Effects Analysis (FMEA), and Fault Tree Analysis (FTA).
• Utilize data analytics tools and techniques to analyze equipment performance data, identify trends, and make data-driven decisions to improve reliability and operational efficiency.
• Implement machine learning algorithms to predict equipment failures and optimize maintenance schedules. Develop predictive models based on historical data to enhance decision-making processes.
• Understand Asset repair, part interchangeability, maintenance, and retrofit processes and practices. This includes knowledge of procedures for resolving asset non-conformances, conducting root cause analysis, and implementing corrective actions.
• Lead the testing and validation of electrical, hydraulic, and control systems to ensure compliance with industry standards and operational requirements. Develop and execute test plans, including Design Verification Plans (DVP) and test automation.
• Implement and maintain root cause analysis methods for equipment failures, Develop failure mode charts and standard reports to document findings and recommendations.
• Work closely with cross-functional teams, including Equipment Service, Quality Assurance, and Equipment Analysts, Tool Room team, to ensure alignment on reliability goals and compliance with safety and quality standards.
• Ensure all reliability engineering activities are documented in accordance with regulatory requirements and internal quality standards. Prepare and maintain documentation for validation and calibration reports.
• Provide guidance and training to team members on reliability engineering principles and practices, fostering a culture of continuous improvement and knowledge sharing.

Basic Qualifications (Desired Skills/Experience):

• Bachelors Degree or higher in engineering is required as Basic Qualification.
• Proficiency in Reliability Engineering principles, Methodologies, and Tools and Analysis techniques (Weibull analysis, Monte Carlo simulations)
• Experience with Electrical systems or Control systems.
• Strong knowledge and understanding of systems engineering principles and practices.
• Strong skills in data analytics, including experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning techniques and frameworks (e.g., Python, R, TensorFlow) for predictive maintenance applications
• Relevant certifications in reliability engineering or maintenance management (e.g., ASNT Level II, Certified Maintenance and Reliability Professional (CMRP)) are preferred
• Experience in analyzing equipment data and identifying reliability issues.
• Knowledge of industrial networking, servers, and databases.
• Proficiency in conducting root cause analysis and failure investigations.
• Excellent problem-solving and analytical skills
• Project management skills

Preferred Qualifications (Desired Skills/Experience):

• Bachelors Degree or higher in Electrical or Mechatronics Engineering Degree or equivalent is preferred.

Typical Education & Experience:

Bachelors degree with a minimum of 5 or more years of experience in Electrical / Mechatronics Engineering or equivalent or 4+ Years with masters degree.

Relocation:

This position offers relocation

Education

Bachelor's Degree or Equivalent Required