Packaging Engineer

Job Description

Job Description

Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control.

The role of a Process Integration and Yield Engineer is to deliver high quality analytical insights that influences / directs the factory resources to minimize defects, control process parameters, and improve overall factory yields. All improvements and sustaining work is done in close collaboration and partnership with the process to improve the capability of the tools and processes.

Responsibilities may include, but are not limited to:

• Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues.
• Identifying exclusionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes.
• Lead/participate continuous improvement projects on products and processes for improved performance.
• Provide expertise on process flow segments.
• Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems.

The ideal candidate should exhibit the following behavioral traits:

• Solid analytical skills and a passion for data analysis and problem solving.
• Organizational skills with attention to detail.
• Excellent interpersonal skills with the ability to work with people at all levels.
• Communication and presentation skills to influence a wide variety of groups at all levels.
• Demonstrate excellent teamwork and leadership skills, demonstrated problem solving and prioritization skills, and driving high performance maintenance goals for the group.

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:

• BSE degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics or related field of study with 4+ years of experience, or Master’s degree with 3+ years of experience or a Ph.D. in the above labeled fields.
• Depending on the degree level obtained, the mentioned years of experience will be needed in each of the below areas:
  • Knowledge of Semiconductor fabrication and processing techniques (Lithography, Etch, CMP, Thin Films, Plating, etc.)
  • Statistical Process Control and Design of experiments (DOE) principles, Statistical Data Analysis (Examples include: JMP/JSL, Python, SQL)

Preferred Qualifications:

• Programing Experience in JMP/JSL, Python, R and SQL
• 2+ yrs of New Technology startup experience
• 5+ years of advanced node Foundry experience in Process/Yield Engineering.

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 $116,100.00-$163,800.00
*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.