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MillenniumsoftPosted 3 weeks ago
EXPIRED

Reliability Engineer - Min 5 Yrs Exp in Reliability Engineer within R&D (Onsite)

$104,000–$104,000 year

On-siteMilpitas, California, United States

Full TimeSenior LevelDoctorate Or Professional Degree

Job Summary

Lead and monitor multiple reliability projects for the Imaging Platform, A7, and Sustaining initiatives, creating test plans to mitigate risks in new product designs. Conduct hands-on lab work for product launches while providing field support for failed units by reviewing failures with engineers and implementing corrective actions. Direct root cause investigations, analyze test data using statistical tools, and facilitate multidisciplinary discussions to evaluate technical risks through FMEA. Provide reliability risk assessments to cross-functional teams and executive leadership, ensuring robust product designs. Work onsite in a BSL2 lab environment, preparing blood samples for testing as part of the R&D group's life science technology development.

Required Qualifications

  • Minimum of a Bachelor's degree in engineering or related discipline
  • Minimum of 5 years of reliability engineering experience
  • Experience performing tests to collect experimental data
  • Experience performing statistical analyses to interpret results
  • 2 years of experience may be substituted with advanced degree in engineering or related discipline
  • Knowledge of reliability fundamentals
  • Understanding of reliability analysis
  • Life predictions knowledge
  • Product life modeling knowledge
  • Root cause analysis knowledge
  • Environmental testing knowledge
  • Accelerated testing knowledge
  • Ability to apply technical standards, principles, concepts, and techniques to solve problems
  • Excellent communication skills
  • Willingness to work in BSL2 lab
  • Willingness to prepare blood samples for testing

Desired Qualifications

  • Knowledge of fluidic, optical, and/or electro-mechanical systems
  • Experience with test automation (LabView, Arduino, etc.)
  • Experience utilizing FMEA to guide team discussions and priorities
  • Statistical knowledge, especially related to six sigma tools and methodology, design of experiments, and reliability modelling
  • Experience managing large sets of data using data processing tools such as Minitab, MATLAB, JMP, or R

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