Reliability Engineer (Hardware/Electronic products)

Rezolve Ai; Santa Clara (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Rezolve Ai in California is seeking a Reliability Engineer to develop and execute reliability qualification plans for hardware/electronic products, and to perform HALT, HASS, and ALT testing.

You will conduct FA and RCA to identify failure mechanisms, apply FMEA, Weibull, MTBF, and DOE, analyze data with Python and SQL, and collaborate across Design, Manufacturing, Quality, and Test teams to drive CAPAs and reporting.

Qualifications

• Experience creating reliability qualification plans for hardware/electronic products.
• Proficiency in HALT/HASS/ALT testing and interpreting results.
• Strong skills in failure and root-cause analysis using statistical methods.

Responsibilities

• Develop and execute reliability qualification plans for hardware/electronic products.
• Perform reliability testing including environmental and accelerated life testing.
• Conduct Failure Analysis (FA) and Root Cause Analysis (RCA) to identify failure mechanisms.
• Perform Physical Failure Analysis and collaborate with FA laboratories.
• Apply FMEA (DFMEA/PFMEA), Weibull analysis, MTBF, and DOE to improve reliability.
• Analyze reliability and manufacturing data using Python and SQL.
• Collaborate with multiple teams to resolve reliability issues and drive CAPAs.
• Create reliability reports, present findings, and drive corrective and preventive actions.

Skills

Reliability testing

Failure Analysis

Root Cause Analysis

Tools

Python

SQL

Job description

• Develop and execute product reliability qualification plans for hardware/electronic products.
• Perform reliability testing, including environmental and accelerated life testing (HALT, HASS, ALT).
• Conduct Failure Analysis (FA) and Root Cause Analysis (RCA) to identify product failure mechanisms.
• Perform Physical Failure Analysis (PFA) and collaborate with FA laboratories.
• Apply FMEA (DFMEA/PFMEA), Weibull analysis, MTBF, and Design of Experiments (DOE) to improve product reliability.
• Analyze reliability and manufacturing data using statistical methods and tools such as Python and SQL.
• Work closely with Design, Manufacturing, Product Engineering, Quality, Test, and Supplier Engineering teams to resolve reliability issues.
• Create reliability reports, present findings, and drive corrective and preventive actions.