AFO C4 Quality and Reliability Engineer
Intel's Corporate Quality Network is seeking engineers for work in Quality and Reliability of semiconductor devices across a variety of areas of expertise. As one of the world largest chip manufacturers, Intel strives to make every facet of semiconductor manufacturing state of-the-art. From semiconductor process development and manufacturing, through yield improvement to final test and optimization, and lastly advanced die prep and packaging, employees in Manufacturing, Supply Chain and Operations Org (MSO) are part of a growing worldwide network of Si manufacturing, advanced packaging, and assembly/test facilities.
You will be joining FSM QnR (Fab-Sort Manufacturing) at our growing site of Intel Portland OR which is the home for our most advanced packaging technologies (Foveros, Die prep/sort, Wafer Level Assembly and C4). As a C4 AFO Quality and Reliability Eng (QRE), you will work closely with C4 module Eng, process integration and others to extract and analyze the needed reliability data for new technology certification, product qualification, and excursion risk assessment. Close working relationships will be required with Intel's Logic Technology Development groups (silicon, package, and test technology development), Manufacturing Quality and Reliability, and the Product Divisions.
Our OR C4 site is located at Intel's campus in Aloha, at the outskirts of Portland in the beautiful Pacific Northwest, very close to some of the most beautiful outdoor gems in the US and a short 20 min drive from the lively downtown. We are solid believers in partnership, collaboration, and teamwork. You will join and become an integral part of our small, dynamic, and dedicated Oregon QnR group which will help you to integrate into your role and will expect your full commitment and dedication in return.
The C4 QRE will be responsible for but not limited to:
Development, application, and maintenance of procedures, monitors and reliability stresses which are needed to ensure our products quality and reliability.
Using data extraction tools, custom scripts, and statistical analysis techniques, to independently extract, analyze, assess, and present inline and end of line data to track our key quality and reliability indicators.
Leading teams to identify the root cause and perform risk assessments to disposition the discrepant material.
Role modeling Quality behaviors and enforcing CQN methodologies and standards by conducting quality assessments (up to and including audits).
Supporting external customers visits and audits.
Demonstrated project management skills.
Motivated self-starter with an willingness to work with minimal supervision in a team environment.
Solid team player with proven skills to work in diverse multi-cultural environment.
Written and verbal communication skills
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
For information on Intel’s immigration sponsorship guidelines, please see Intel U.S. Immigration Sponsorship Information.
The candidates must have a Bachelor's degree in either Mechanical Engineering, Material Science, Physics, Chemical Engineering, Chemistry, Electrical Engineering or a related field of study and at least 3+ months of experience relevant to the role, in a similar semiconductor manufacturing environment.
The candidate must possess a Master Degree in either Mechanical Engineering, Material Science, Physics, Chemical Engineering, Chemistry, Electrical Engineering or a related field of study and 6+ months of experience.
Basic statistics and skills to use Engineering analysis tools (ex. JMP, R) for statistical calculations.
Working experience in semiconductor manufacturing as process, packaging, or test Engineering role.
Scripting capabilities (Python, C# or similar).
Proven experience in Model based problem solving and familiarity with other industry standards problem solving techniques like 5 whys, 8D etc.
Reliability statistics and willingness to draw conclusions from a small sample size.
Familiarity with ISO9001 requirements.
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