Company:

Qualcomm Global Trading Pte. Ltd.

Job Area:

Engineering Group, Engineering Group > Hardware Engineering

General Summary:

Job Overview

Candidate will be responsible for improving quality performance of automotive chips during production ramp, and high-volume manufacturing.

• Analyze yield, process, diagnostic, and semiconductor test data to ramp production volume, support lot disposition, drive baseline yield improvement, and isolate root causes of yield loss and product performance degradation.

• Support foundry / assembly house on process qualification, test house management, test probe card, load board and tester validation on performance over process and operating condition, debug and release test program into mass production.

• Collaborate with wafer foundries, assembly and test houses and Qualcomm PTE (product and test engineering) team to isolate root causes of yield loss and burn-in failures, and drive improvements.

• Interface with management and business teams to provide yield outlook for product planning and cost analysis.

• Lead teams and task forces to address and drive Automotive process improvement during safe launch

Required Qualifications

• 10+ years experience with semiconductor manufacturing and testing

• Good understanding of VLSI test techniques.

• Basic understanding of digital/analog functional block and electronic circuits.

• Basic data analysis skills.

• Fluent in English, both spoken and written.

• Proactive working attitude.

• Capable to handle new challenge.

Preferred Qualifications

• Familiar with automotive safe launch process and zero defect mindset.

• Basic knowledge of design for test, design for manufacturing, design for experiment.

• Basic knowledge of reliability test, and quality concept.

• Basic knowledge of foundry process, assembly process, and failure analysis.

• Good experience with data analytical tools

• Understand yield management, continuous improvement and cost reduction in a high volume fabless semiconductor environment

• Understand test house working model, supply chain and KPI.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.

OR

Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience.

OR

PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.

Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification