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Senior Engineer, Wafer Manufacturing Metrology

Develop automated defect detection algorithms using machine learning techniques
San Francisco Bay Area
Mid-Level
yesterday
Arkansas Staffing

Arkansas Staffing

Arkansas Staffing appears to be a government-associated entity focused on workforce development and employment services within the state of Arkansas.

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Metrology Engineer

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western DigitalĀ®, WDĀ®, WD_BLACKā„¢, and SanDiskĀ® Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.

Essential Duties And Responsibilities

As a metrology engineer, you will be responsible for developing and implementing precise, robust, and high-throughput solutions to control high volume manufacturing of complex, three dimensional thin film magnetic read/write head structures. Examples of projects include developing automated device inspection recipes to detect defects with machine learning and spectroscopic ellipsometer models to measure thin film thickness and index. To accomplish this objective, you will need to collaborate closely with process engineering teams that support wafer manufacturing operations.

  • Work independently with minimal supervision in the manufacturing metrology group to develop, document, optimize, and sustain automated inspection recipes and process control solutions.
  • Develop and refine technical methods/processes to identify root causes of operational issues, process inefficiencies, and measurement deviations.
  • Establish accurate baseline measurements and qualification of metrology solutions by collaborating with cross-functional teams across the fab.
  • Deploy robust metrology system calibration and correlation strategies.
  • Identify and resolve equipment issues, collaborating with equipment engineering teams and tool vendors to ensure optimal tool performance.
  • Cross-train within metrology engineering to ensure seamless support coverage across teams.
  • Partner with engineering and quality teams to analyze real-time metrology data, identify process deviations, and implement automated corrective strategies to improve yield and reduce cycle time.
  • Summarize, document, and present results to technical and executive audiences to drive data-driven improvements.
  • Communicate effectively with both management and shop floor.
  • Display comfort and skill in presenting issues/findings.

Qualifications

Required:

  • B.S. or M.S. in physics, chemistry, engineering (chemical, mechanical, electrical), material science
  • Minimum of 0-3 years of work experience depending on education
  • Programming/scripting experience in any of SQL, Python, Matlab, JSL, C#, etc. required
  • Strong detail-oriented work habits.
  • Ability to complete projects on schedule
  • Practical understanding of electronics and mechatronics as applied to modern industrial measurement tools.

Preferred:

  • Engineers are required to be hands on (equipment, wafers) so clean room and wafer fabrication / processing experience is preferred.
  • Practical knowledge of image processing (filtering, FFT, convolution, re-sampling, cropping, etc.) and computer vision (edge detection, object detection, feature matching, segmentation, thresholding, etc.) preferred.
  • Experience in machine learning (unsupervised, supervised, classification, neural networks, etc.) and optimizing defect capture rate by confusion matrix analysis strongly preferred.

Skills:

  • Excellent skills in problem solving, data analysis, statistics, and both written and oral communications.

Additional Information

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf) " poster. Our pay transparency policy is available here (https://www.dol.gov/agencies/wb/equal-pay-protections) . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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Senior Engineer, Wafer Manufacturing Metrology
San Francisco Bay Area
Engineering
About Arkansas Staffing
Arkansas Staffing appears to be a government-associated entity focused on workforce development and employment services within the state of Arkansas.