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.

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.