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Sr Test Engineer-NVH & Fatigue

Milwaukee Tool
Menomonee Falls, WI Full-time 12/2/2025
Undergraduate with 5+ Years of Experience

Job Description

Milwaukee Tool is seeking a Sr. Test Engineer in NVH and Fatigue who will collaborate with design teams, provide technical guidance, and develop testing procedures to enhance product performance and reliability.

Requirements

  • Bachelor’s degree in mechanical engineering or similar field.
  • 5 years of experience in NVH and Fatigue testing.
  • Solid understanding of fatigue theory, materials science, and cyclic loading.
  • Hands-on experience with instrumentation, data acquisition systems, and laboratory testing equipment.
  • Proficiency with Siemens SimCenter and MTS fatigue systems preferred or similar.
  • Experience with shaker tests and vibration test systems.
  • Knowledge of statistical methods and experience with Design of Experiments (DOE).
  • Excellent analytical, problem-solving, and communication skills.

Responsibilities

  • Work collaboratively as a team, while remaining agile in a fast-paced environment.
  • Build relationships and align with new product design teams on test development and execution.
  • Consult with engineering teams and recommend design improvements to enhance product performance, reliability, and longevity.
  • Act as a technical resource and provide solutions to engineering.
  • Develop and document test procedures for fatigue, durability, and stress testing.
  • Perform methods such as modal, order-analysis, and ODS to analyze designs.
  • Instrument test articles with a variety of sensors, including strain gauges, accelerometers, and load cells, and set up data acquisition systems (DAQ).
  • Conduct field data collection, create vibration profiles, and analyze response data.
  • Record and analyze sound, vibration, and strain data.
  • Perform ED shaker tests for resonance and fatigue testing.
  • Utilize and maintain automated systems for NVH, fatigue, and resonance testing.
  • Correlate physical test results with analytical models, such as Finite Element Analysis (FEA), to improve predictive simulation capabilities.
  • Analyze test data and reduce complex information into clear and concise reports.