Specialist - RMS Engineer

Eaton’s AER Aerospace Group division is currently seeking a Specialist - RMS Engineer. This is a remote position with the requirement to reside within 50 miles of one of the following Eaton locations;
Fort Worth

TX, Euclid OH, Davenport IA, Irvine CA, Jackson MI, Jackson MS, Los Angeles CA, Orchard Park NY, Grand Rapids MI, Bethel, CT, Glenolden PA, Charleston SC, Beltsville MD

The expected annual salary range for this role is $109000 - $159000 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

Eaton Corporation, Industrial Sector, has an opening for a Reliability, Maintainability and Safety Engineering. This position will report to the Reliability, Maintainability and Safety (RMS) group focusing on driving robust design and Design for Reliability practices into product development as well as leading certification compliance for all Aerospace programs globally. The Aerospace RMS team is part of Fuel and Motion Control (FMC) Division.

This position is responsible for leading comprehensive system reliability, maintainability and safety programs across all 4 Aerospace divisions. The role involves analyzing data, conducting RMS assessments on both component and system levels, and offering valuable insights and feedback to customers within and outside the organization. This position is also responsible for driving deployment of new tools and processes within the organization (e.g., Design for Reliability (DfR), Design for Safety (DfS), or Design for Six Sigma (DFSS) deployment).

• Develop a comprehensive system reliability and safety program plan, interfacing with Program Management to align key dates, resources, and milestones.
• Tracking and reporting progress to deliverables and developing recommendations for program gate decisions.
• Quantify system reliability and safety requirements based on customer wants/needs, and competitive benchmarking information. Allocate reliability and safety requirements to subsystem and component teams.
• Have a general understanding of reliability estimation methods, such as Reliability Block Diagrams, Fault Trees, MIL-217, and others.
• Lead complex reliability and safety analyses, either individually or through team efforts.
• Understand basic aerospace safety standards (DO-178C and DO-254A).
• Understand basic state of the practice methods for aircraft certification (ARP
  4754 and ARP 4761).
• Guide the development of design Critical to Quality (CTQ) measures of program success based on customer wants/needs.
• Lead a comprehensive risk management process – including leading DFMEA, robustness models (P-diagram), and a program risk management log, promoting early identification and resolution of risk.
• Define and execute system and component design validation plans and reports (DVP&R), including accelerated life testing and life test data analysis.
• Managing a reliability growth plan, utilizing reliability analysis tools to calculate system and component reliability growth.
• Support Failure Reporting, Analysis, and Corrective Action System (FRACAS) process, driving continuous improvement through a statistical problem solving approach
• Present reliability program status to external customers.
• Mentor other engineers in DFSS and reliability disciplines; provide formal training on selected topics in DFSS and Reliability.
• Assure effective use of the proper product assurance tools and processes for Aerospace programs
• Develop strong network and usage of global capabilities.

#LI-LD1

• Bachelor’s degree in engineering in accredited institution
• Minimum 10 years of experience in a technical role (mechanical and electrical experience on military aircraft)
• Minimum 4 years of experience in new product development programs, including product launch phase
• Experience working with reliability/safety teams, product development teams, with internal and external customers
• Experience with reliability modeling, FMEAs/FMECAs, fault tree analyses, and analyzing large data sets
  
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