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# Sr. Reliability Engineer

- **Company:** MillenniumSoft Inc
- **Location:** Milpitas, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Arduino, Automation of Tests, Failure Mode Effects Analysis, R (Programming Language), LabVIEW, MATLAB, Minitab, Reliability Engineering, Test Data, JMP (Statistical Software), Reliability of Systems
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-reliability-engineer-milpitas-ca--ea169c43-36cc-41e6-bf1c-2abb9f32533e

## About the Role

Reliability Engineering, Reliability Engineering, Cost Control, Biology, Laboratory Testing, Research & Development (R&D), On Site Support, Failure Analysis, Multitasking, Project Tracking, * Minimum 5 years of reliability engineering experience (or equivalent experimental/statistical testing experience); 2 years may be substituted with an advanced engineering degree, * Basic statistical analysis for interpreting test data

 * Reliability analysis and reliability engineering fundamentals (life predictions, root cause analysis, environmental/accelerated testing)
 * Strong communication skills
 * Nice to have: DFMEA, electronics hardware design, fluidics, optics, test automation (LabView, Arduino)
 * Nice to have: Six Sigma tools, design of experiments, data tools (Minitab, MATLAB, JMP, R)

## Description

Senior Reliability Engineer supporting the development of new life science technology within an R&D group. Provides hands-on reliability expertise for complex instruments, including lab testing, field failure support, and cost reduction/sustaining activities. Location: Milpitas, CA (Onsite 5 days/week). Temp-to-perm possibility.

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 * Lead and monitor multiple reliability projects
 * Provide reliability risk assessments to cross-functional teams and leadership
 * Create and implement test plans to mitigate risks in new product designs
 * Facilitate multidisciplinary FMEA discussions to evaluate technical risk
 * Record, organize, and analyze large sets of detailed test data
 * Troubleshoot instrument failures and direct root cause investigations
 * Guide corrective action identification, implementation, and validation
 * Provide engineering input for new designs to ensure reliable, robust products
 * Support lab testing (30%), field failure review/solutions (40%), and cost-reduction/sustaining work (30%)