NPD Reliability Engineer

Job Description & Responsibilities

• Reliability Engineering work for new technology/products of HV Si & SiC JFET products.
• Identify and address reliability risks of designs and processes of die fab and packaging process, and their interactions.
• Design/Plan reliability tests (Test conditions, test duration, sampling) for DOE engineering and for the qualification on onsemi system.
• Disposition of reliability failures based on failure analysis and reliability risk assessment.
• Data analysis of reliability results, test and quality data
• Technical analysis of reliability failures related qualification specification consistency and improvement activities.
• Summarize and report out of reliability data to internal and external customers.
• Actively involved in and work with cross-functional teams on systematic management of risks associated with product quality and reliability issues.
• Responds to Customer inquiry related to Reliability.
• Drive data-driven reliability methodologies through automation, predictive analytics, and digital engineering initiatives.

Qualifications

Job Qualifications

• Min Bachelor’s degree in electronics, Physics or other Semiconductor Engineering field.
• Min 5+ years of semiconductor industry experience as a Reliability Engineering, Technology Engineering or product engineering. Failure analysis experience is a plus.
• Knowledge of semiconductor assembly process and frond end(fab)-back end(assembly) interactions.
• Familiarity with statistic software like JMP, Weibull++, Alta Pro is preferrable.
• Data analysis & mining skill is a plus.
• Must be proficient in English and in communication with Global project team.
• Skill of analytical, organizational, planning, and problem-solving.
• Experience or familiarity with MIL, JEDEC and AECQ, AQG test standards
• Must understand basic reliability theory
• Experience with data visualization tools such as Power BI, or equivalent platforms.

• Experience in automation of engineering workflows, report generation, or data visualization is highly desirable.