M
Not Specified Permanent

Milwaukee, Wisconsin · USA job

Reliability Engineer II - Drilling

Milwaukee Electric Tool

Milwaukee, Wisconsin

Job description

Overview

In this role you will advance product reliability for Milwaukee Tool by leading cross-functional teams through development and post-launch activities. You'll refine CtQ requirements, guide reliability testing, and drive data-driven decisions to ensure high-performance products. You'll collaborate with Marketing, Engineering, and test labs to align on reliability objectives and actionable improvements. This position offers exposure to design, manufacturing, and testing in a fast-paced, innovation-driven environment.

Responsibilities
  • Lead teams on new product designs and changes with focus on reliability and user requirements
  • Identify critical-to-quality requirements across mechanical and electrical features
  • Manage multiple projects to stay on schedule and align with Milwaukee Tool processes
  • Collaborate with Marketing and Engineering on reliability and testing aspects
  • Develop test plans and procedures to meet customer requirements
  • Coordinate with test laboratories to implement and complete tests
  • Apply statistical analyses (Weibull, reliability distributions) to draw conclusions from data
  • Conduct root cause analysis and implement corrective/preventive actions (FRACA)
  • Communicate findings in concise written and verbal formats
Key requirements
  • Bachelor of Science in Engineering
  • 2-5+ years in reliability and quality
  • Experience with new product commercialization and quality engineering fundamentals
  • Experience leading a function within a project team
  • DOE, life data analysis, and other statistical tools (e.g., Minitab, Reliasoft)
  • Strong written and verbal communication and problem-solving skills
  • Willingness to travel 10% (domestic and international)
  • Preferred: ASQ CRE or DFSS / Six Sigma experience
  • written and verbal communication
  • creative problem-solving
  • cross-functional collaboration
  • Design of Experiments (DOE)
  • life data analysis
  • Weibull analysis

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