Diagnostics Engineer
San Diego, CA, United States On-site
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About the role
Company Description Job Description General Summary Diagnostics Engineer in the Product Engineering Department. Support research and development of new capabilities in scan diagnostics, drive features into high-volume yield learning environment. Collaborate with design-for-test, product engineering, test engineering, and failure analysis departments while working on leading edge semiconductor technologies. Principal Duties & Responsibilities Investigate defects found in silicon and compare them to logic diagnosis for the purpose of improving diagnosis algorithms and tools, and supporting various development projects. Use of cross-functional software tools including yield management platform, logic diagnosis, VLSI CAD navigation, and an array of custom utilities. IT Core Competencies Linux basics: creating/managing/editing directories and files. Intermediate MS Excel skills: managing large sets of data, filter, sort, formulas, and pivot tables. Required Competencies Clear and concise communication, teamwork, strong analytical skills, MS Office. Qualifications Minimum Qualifications Bachelor's, Electrical Engineering or Computer Engineering or equivalent experience, will consider college students in engineering programs. Preferred Qualifications Master’s, Electrical Engineering or Computer Engineering or equivalent experience. Additional Competencies Experience with one or more of the following: DFT, ATPG, Diagnostics, Data Analysis, Linux, Perl/Python. Additional Information All your information will be kept confidential according to EEO guidelines.
What you'll bring
- Clear and concise communication, teamwork, strong analytical skills, MS Office.
- Bachelor's, Electrical Engineering or Computer Engineering or equivalent experience, will consider college students in engineering programs.
- Master’s, Electrical Engineering or Computer Engineering or equivalent experience.
- Experience with one or more of the following: DFT, ATPG, Diagnostics, Data Analysis, Linux, Perl/Python.