Senior Reliability Engineer - Onsite (Min 5yrs Exp is Required)
$104,000–$104,000 year
On-siteMilpitas, California, United States
Job Summary
Lead and monitor multiple reliability projects for the Imaging Platform, A7, and Sustaining initiatives. Conduct 30% lab work for new product final liability testing, 40% field support to review failed products and provide solutions, and 30% sustaining cost reduction activities. Create and implement test plans to mitigate risks in new product designs while facilitating multidisciplinary discussions to evaluate technical risk through FMEA. Direct, execute, and document root cause investigations for instrument failures, guiding the team to corrective action identification, implementation, and validation. Provide reliability risk assessments to cross-functional teams and executive leadership, methodically analyzing test data to support critical reliability decision-making. Work onsite five days a week in Milpitas, CA, with a temp-to-perm possibility.
Required Qualifications
- Minimum of a Bachelor's degree in engineering or related discipline
- 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
- Excellent communication skills
- Willingness to work in BSL2 lab
- Willingness to prepare blood samples for testing (training will be provided)
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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