Experienced Equipment

1 day ago


Bengaluru, Karnataka, India Boeing Full time
Job Description

Job Description

Job Description

Overview

As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing's team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company's core values of safety, quality and integrity.

Technology for today and tomorrow

The Boeing India Engineering & Technology Center (BIETC) in India is leveraging a talented pool of 5,500+ engineers, technologists, and innovators to drive growth and innovation in the global aerospace sector. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace.

People-driven culture

At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring perspectives and thoughts - enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people's careers and being thoughtful about employee wellbeing.

With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace.

Position Overview:

Boeing Talent Acquisition is currently looking for Experienced 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):

- Bachelor's 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):

- Bachelor's Degree or higher in Electrical or Mechatronics Engineering Degree or equivalent is preferred.

Typical Education & Experience:

Bachelor's degree with a minimum of 8 to 12 years of experience in Electrical / Mechatronics Engineering or equivalent or 7+ Years with master's degree.

Relocation:

This position offers relocation

Applications for this position will be accepted until Sept. 13, 2025

Export Control Requirements: This is not an Export Control position.

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

Not a Shift Worker (India)

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

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