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Reliability Engineer

Job in Milpitas, Santa Clara County, California, 95035, USA
Listing for: Indotronix Avani Group
Full Time position
Listed on 2026-03-07
Job specializations:
  • Engineering
    Systems Engineer, Quality Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Play a critical role in the development of new life science technology as a reliability engineer in the R&D group. Provide hands‑on, analytical, and reliability expertise to support engineering programs associated with the development of complex instruments. Work in a team environment to assess and improve product reliability throughout the design process. Manage reliability projects by implementing tests, analyzing data, assessing reliability risks, and reporting accurate information to stakeholders.

Education and Experience:
  • Minimum of a Bachelor's degree in engineering or related discipline required.
  • Minimum of 5 years of reliability engineering experience or experience performing tests to collect experimental data and performing statistical analyses to interpret results. (2 years may be substituted with advanced degree in engineering or related discipline)
  • Knowledge of reliability fundamentals and understanding of reliability analysis (i.e., life predictions, product life modeling, root‑cause analysis, environmental testing, accelerated testing, etc.)
  • Applies technical standards, principles, concepts, and techniques to solve problems.
  • Willingness to work in BSL2 lab.
  • Willingness to prepare blood samples for testing (training will be provided).
In addition to the above minimum qualifications, the following are considered highly desirable:
  • Knowledge of fluidic, optical, and/or electro‑mechanical systems.
  • Experience with test automation (Lab View, 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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