Senior Reliability Analytics Engineer

Key Responsibilities:-

• System architectural evaluation and suggestions using reliability goal allocation methods, bottom-up predictions and identifying weak links in the designs.
• Ability to find right opportunities and develop new BKMs on reliability analytics metrics leveraging data analytics techniques such as Python, R, Power BI etc.
• Provide subject matter expertise on Design for Reliability advanced tools and techniques to the global team through program consultation.
• Performs system reliability modeling for key strategic programs including reliability block diagram, availability simulations, maintenance strategies using reliability software such as Reliasoft or like.
• Analyze component life data through advanced analytics techniques to identify parameter trends, degradation modeling, predictive insights.
• Performs reliability analysis by applying proven techniques and analytical tools to identify design deficiencies, design margin and robustness in product design stages, weak links and root cause of reliability issues.
• Develop new test and analysis techniques leveraging analytical tools as required to assure the early identification of potential weak links with new products.
• Analyzes customer data, reviews engineering designs to assess the reliability risks through reliability analysis.

Education:-

• Bachelor’s/Master’s Degree in Mechanical, Electronics and Communication or related field

Experience:- 

• 4-8 Years in new product reliability engineering and data analytics

Functional Knowledge:-

• Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines

Business Expertise:-

• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership:-

• No supervisory responsibilities but provides informal guidance to new team members. Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements

Problem Solving:-

• Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information

Impact:-

• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies

Interpersonal Skills:-

• Explains complex information to others in straightforward situations. Explains difficult or sensitive information; works to build consensus.
• Ability to interact and collaborate with Global reliability engineering and product development teams to ensure timely outcomes.

Competencies:

• Hands-on proficiency in implementing Design for Reliability advanced tools and techniques such as System reliability modeling, reliability apportion/bottom-up prediction analysis, repairable system growth analysis, FMECA etc. in reliability analysis software such as Reliasoft, Windchill, JMP etc.
• Hands-on proficiency in developing reliability and data analytics through Python/R scripting.
• Reliability test plan development and sensor/key parameter data analysis. Additionally, the candidate will need skills such as active Listening & Communication, Team Player, produce results with minimum supervision, Project Management, Accuracy & attention to detail, Problem solving ability, coming up with new analysis methods/BKMs to be successful in this role.
• ASQ CRE or related certifications in reliability engineering is desirable.

Location:-

• Bangalore, India.

Company Overview:-

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.