Yield Development Engineer

INTEL

Phoenix, AZ

JOB DETAILS
SALARY
$127,400–$179,900 Per Year
SKILLS
Analysis Skills, Chemistry, Communication Skills, Cross-Functional, Data Analysis, Data Processing, Data Science, Electrical Engineering, Electricity, Manufacturing, Manufacturing/Industrial Processes, Material Science, Mechanical Engineering, Metrology, Package Layout Design, Physics, Problem Solving Skills, Process Flow, Process Improvement, Productivity Management, Python Programming/Scripting Language, Reporting Skills, Test Lab
LOCATION
Phoenix, AZ
POSTED
1 day ago

Job Description


Advanced Packaging Technology and Manufacturing (APTM) Yield Organization is looking for a Yield Analyst who will drive yield improvement activities across APTM packaging technologies.
Responsibilities will include:
• Define yield roadmap and drive yield improvement activities through yield working group/taskforce using your formal education, model-based problem solving, knowledge of manufacturing process and data analytics in collaboration with Process modules, Integration and other key stakeholders.
• Extract key insights through data analytics from various data sources such as inline tool data, images from metrology tools, electrical test, lab characterization etc.
• Prepare yield reports, communicate key messages/insights in various forums and recommend next actions for yield improvements.
• Monitor factory yield issues and respond promptly to daily yield loss events. Develop proactive and preventative measures to improve yield.


Qualifications


Qualifications

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.


Minimum Qualifications:
• Possess a Bachelor with +3 years of experience or Master with 2+ years of experience or Ph.D degree in Physics or Mechanical Engineering or Material Science or Electrical Engineering or Chemistry or any other relevant STEM field.
• 2+ years of experience in data analytics using Python and/or JMP. Familiarity of Python libraires for data science work (NumPy, Pandas, Scipy, Matplotlib, Scikit-learn, TensorFlow, PyTorch etc.)


Preferred Qualifications:

• Prior experience working in wafer level and/or package assembly, and familiarity of process flow, tools, yield issues.
• Able to connect analysis results to process fundamental, process tool behaviors and fundamental physics. Construct hypothesis model tables and systematically solve complex yield problems.
• Demonstrate a capability to direct cross functional team and work effectively across organization boundaries. Be proactive and drive conversation with stakeholders for yield improvements.
• Self-driven with minimum supervision, good communication skills, tolerance of ambiguity, be effective in a fast-paced work environment and strong sense of ownership.
• Prior experience of running working group and taskforce with stakeholders, and provide technical directions for problem resolution.



Posting Statement


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.

Benefits


We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.



Annual Salary Range for jobs which could be performed in the US $127,400.00-$179,900.00
*Salary range dependent on a number of factors including location and experience


Working Model


This role will require an on-site presence.* Job posting details (such as work model, location or time type) are subject to change.

--s-p-m1--

Powered by SonicJobs (an advertiser on Monster). By applying, you consent to share your data with SonicJobs and the employer. Monster or SonicJobs does not store or use your application data beyond facilitating the application.
See Intel Privacy Policy at https://www.intel.com/content/www/us/en/privacy/intel-privacy-notice.html and SonicJobs Privacy Policy at https://www.sonicjobs.com/us/privacy-policy and Terms of Use at https://www.sonicjobs.com/us/terms-conditions

About the Company

I

INTEL