About The Position

We are looking for a talented Materials Science Engineering Technical Specialist to join our Engineering team of Cummins Drivetrain and Braking Systems (CDBS) in Troy, MI.

Requirements

  • Advanced statistical methods (descriptive analytics, probability modeling, regression, DOE, hypothesis testing)
  • Component failure analysis
  • Material and process selection
  • Mechanical, chemical, microstructural, and physical property characterization
  • Technical documentation
  • Cross-functional collaboration
  • Structured problem-solving methodologies
  • Decision quality
  • Resourcefulness
  • Ability to manage complexity
  • Valuing diverse perspectives
  • Adapting to challenging circumstances

Responsibilities

  • Apply advanced statistical methods—descriptive analytics, probability modeling, regression, DOE, and hypothesis testing—to deliver rigorous, evidence-driven recommendations that improve product and process outcomes.
  • Conduct thorough component failure analyses to identify true root causes, evaluate design and manufacturing intent, and recommend corrective actions that protect customers and prevent recurrence.
  • Evaluate component requirements and select the most appropriate materials and manufacturing routes, ensuring best-fit solutions that meet performance, cost, and reliability targets.
  • Perform mechanical, chemical, microstructural, and physical property characterization to confirm compliance and correlate lab results with field performance, improving component durability and reliability.
  • Produce clear, accurate technical documentation that captures learnings, supports decision-making, and enables efficient knowledge sharing across engineering, operations, and cross-functional teams.
  • Build strong internal and external networks to accelerate problem-solving, align stakeholders, and ensure seamless communication across engineering, manufacturing, and supplier teams.
  • Apply structured problem-solving methodologies to identify assignable and systemic root causes, implement robust corrective actions, and mentor others in effective analytical approaches.
  • Demonstrate strong decision quality, resourcefulness, and the ability to manage complexity—consistently driving results while valuing diverse perspectives and adapting to challenging circumstances.
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