Reliability Engineer

John Deere John Deere · Industrial · Dubuque, IA +1 · Product Engineering (CA)

Reliability Engineer role at John Deere focused on supporting design solutions for product delivery initiatives by applying reliability methodologies and tools. The role involves identifying opportunities in durability, evaluating enhancement strategies, monitoring progress, and analyzing/predicting reliability of Backhoe and Landscape Loaders by identifying potential failure modes. It also includes optimizing business metrics like machine failure rates and cost per unit, conducting data analysis, and leveraging quantitative techniques to generate actionable business insights and decision-support models. The position requires technical proficiency in areas like hydraulics, drivetrain, electrical, or product validation, and experience with analytic tools such as SQL, Python, R Shiny, or Cloud data lake services is a plus.

What you'd actually do

  1. Support design solutions for product delivery initiatives by applying reliability methodologies and tools
  2. Identify areas of opportunity in durability, evaluate enhancement strategies, and monitor ongoing progress
  3. Collaborate effectively with cross-functional teams, suppliers, and design personnel to drive improvements in reliability
  4. Analyze and predict the reliability of Backhoe and Landscape Loaders by identifying potential failure modes
  5. Optimize critical business metrics including machine failure rates, cost per unit, and overall durability performance

Skills

Required

  • Demonstrated technical proficiency in at least one of the following areas: hydraulics, drivetrain, electrical, or product validation
  • Experience/exposure in design or product validation
  • Ability to collaborate effectively within cross-functional teams
  • Capable of carrying out multiple tasks simultaneously
  • Strong organizational, communication, and leadership skills
  • Ability to collaborate with individuals of diverse cultures, interpersonal styles, capabilities, and backgrounds

Nice to have

  • Cross-functional experience related to PV&V, design, and/or manufacturing teams
  • Experience utilizing reliability data analysis techniques in a manufacturing environment
  • Proven ability to innovate and implement new processes
  • Experience with analytic tools SQL, Python, R Shiny or Cloud data lake services

What the JD emphasized

  • reliability methodologies
  • data analysis
  • quantitative techniques