Reliability Engineer II — Impact & Testing Leadership

tti; Milwaukee (WI); On-site; USD 70,000 - 100,000; Full time

Job summary

Milwaukee Tool is seeking a Reliability Engineer II to join the Downtown Office in Milwaukee, WI, reporting to the Reliability / Quality Manager. You will apply intermediate to advanced reliability engineering skills across product development, testing, and field feedback to deliver high-performance, durable tools.

The role emphasizes cross-functional collaboration with Marketing and Engineering, development of test plans, analysis using statistical methods (Weibull, life data), and driving

Qualifications

• Bachelor of Science Degree in Engineering or equivalent.
• Experience in reliability/quality field (2–5+ years).
• Experience with DOE, life data analysis, and statistical tools such as Minitab/Reliasoft.

Responsibilities

• Lead teams for new product designs with respect to reliability and warranty.
• Identify CtQ user needs on mechanical and electrical designs.
• Track multiple projects to meet schedules.
• Collaborate with Marketing and Engineering on reliability and testing.
• Develop test plans to ensure products meet requirements.
• Work with test labs to execute procedures and best practices.
• Perform data analysis using statistical techniques (Weibull, life data).
• Provide root cause and corrective actions (FRACA).
• Apply DOE and life-data analysis in product development.

Skills

Written and verbal communication

Analytical thinking

Statistical analysis

Cross-functional collaboration

Travel readiness

Education

Bachelor of Science in Engineering

Educational equivalent field

Tools

Minitab

Reliasoft

Weibull analysis

Job description

Milwaukee Tool is seeking a Reliability Engineer II to join the Downtown Office in Milwaukee, WI, reporting to the Reliability / Quality Manager. You will apply intermediate to advanced reliability engineering skills across product development, testing, and field feedback to deliver high-performance, durable tools.

The role emphasizes cross-functional collaboration with Marketing and Engineering, development of test plans, analysis using statistical methods (Weibull, life data), and driving