Sr. Reliability Engineer

Sr. Reliability Engineer

Location: 155 N. McCarthy Blvd, Milpitas, CA 95035
Duration: 4 Months Contract | Temp-to-Perm Possible
Pay: $55/hr without benefits/PTO
Schedule: 5 Days Onsite
Interview: Candidate should be available 4–5 days/week

Job Summary

We are seeking a Sr. Reliability Engineer to support multiple projects across the Imaging Platform, A7, and Sustaining programs within an R&D environment. The role involves reliability testing, statistical data analysis, field failure investigation, troubleshooting, root cause analysis, and reliability risk assessment for complex life-science instruments.

Responsibilities

• Lead multiple reliability projects and develop/execute reliability test plans.
• Perform reliability/final testing for new product launches and support ongoing products.
• Analyze test data using statistical methods and provide reliability assessments.
• Support field failures, troubleshoot instruments, perform root cause analysis, and recommend/validate corrective actions.
• Conduct FMEA/DFMEA and identify product reliability risks.
• Manage detailed test data and communicate findings to engineering teams and leadership.
• Provide reliability input for new product designs and product improvements.
• Work cross-functionally with engineering and other teams.

Approx. 30% Lab Work | 40% Field Support | Remaining: Data Analysis, Test Planning & Reliability Activities

Must Have

• Reliability Engineering & Reliability Analysis
• Strong understanding of Reliability Fundamentals
• Basic statistical analysis skills for interpreting test/experimental data
• Reliability testing, troubleshooting & root cause analysis
• Bachelor's degree in Engineering or related field
• 5+ years of reliability engineering/testing experience
  (2 years may be substituted with an advanced engineering degree)
• Excellent communication and problem-solving skills
• Willingness to work in a BSL-2 lab and prepare blood samples for testing (training provided)

Nice to Have

• DFMEA/FMEA
• Electronics Hardware Design
• Fluidics / Optics / Electro-mechanical systems
• Test Automation, LabVIEW, Arduino
• Six Sigma / DOE / Reliability Modeling
• Minitab, MATLAB, JMP, or R
• Experience with life-science instrumentation

Ideal Candidate: Hands-on reliability engineer experienced in testing, statistical analysis, field failure investigation, root cause analysis, and working with complex fluidic, optical, electronic, or electro-mechanical products.

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