データ分析を通じてパッケージング技術の歩留まりと欠陥を改善する業務を担当します。学士6年、修士4年、博士2年以上の関連経験が必須であり、JMPまたはPythonを用いたデータ分析経験が3年以上必要です。業務遂行のために国内外への出張が発生します。ハイブリッド勤務モデルを採用しており、チームの優先順位を設定し、部門間の協力を主導する役割を担います。
Advanced Packaging Technology and Manufacturing (APTM) Yield Group is looking for a Yield Analysis engineer to join our team tasked with the objective of driving yield and defect improvement across APTM portfolio of packaging technologies. As a yield analysis engineer, the successful candidate will set priorities for the team, get results across boundaries, ensure an inclusive work environment, and demonstrate progress to key yield milestones in technology development and high volume manufacturing phases. Our job is to understand where our manufacturing process, test content and inline metrologies need to be improved and fixed. We are looking for engineers who love solving technical problems, are driven to achieve results, and are flexible to adapt to new methods, tools, and fields of study depending on what is needed to solve the problem at hand. You will have access to extremely large datasets and the potential to become a technology expert.
Extract insights from structured and unstructured data by quickly synthesizing large volumes of data, applying statistical methods and machine learning techniques Develop solutions to problems by utilizing formal education, knowledge of manufacturing process, statistical knowledge, and problem-solving tools Independently drive recommendations and influence the Yield improvement roadmap .
Good understanding of the relationship between electrical and physical fails including a deep knowledge of FIFA, DFT, Sort/Test, Integration/Process Flow, Datamining, Databases, Data manipulation, and Data visualization.
Good understanding of Inline Defect Metrology, detection capabilities and underlying defect systems in the factory.
Developing strong partnerships with diverse groups such as Process Engineering, Integration, QNR, and Product and Test Development Engineering.
Preparing detailed, clear, and timely reports summarizing the yield and device health. Owning determining the actions required to deliver Best in Class yield levels. Developing solutions to problems using process, Sort/Test and inline metrology knowledge, statistical knowledge, and problem-solving skills.
Work with both upstream, downstream and cross functional key partners to ensure successful technology development, transfer and ramp of new technology into HVM. Some domestic and international travel will be needed
Excellent analytical skills and a passion for data analysis and problem-solving. Excellent organizational skills with strong attention to detail. Excellent interpersonal skills with the skills to work with people at all levels.
Excellent communication and presentation skills to influence and direct a wide variety of groups at all levels. Capable of working autonomously with minimal oversight or coaching.
Be capable of directing cross-functional teams and working effectively across organizational boundaries.
You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates
Bachelor's degree with at least 6 years of relevant experience, or Master's degree with at least 4 years of relevant experience, or PhD with at least 2 years of relevant experience in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Chemistry, Physics, or a related field.
3+ years of experience in data analysis through JMP, Python, or other data engineering software.
In-depth understanding and hands-on application of statistical analysis.
Demonstrated proficiency in structured technical problem-solving.
Demonstrated understanding of product design/circuit/architecture as relevant for yield analysis.
Demonstrated understanding of inline metrology capabilities as relevant for yield analysis.
Experienced Hire
Shift 1 (United States of America)
US, New Mexico, Albuquerque
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $164,470.00-232,190.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
