Process Integration and Yield Engineer

Intel Corporation; Phoenix (AZ); On-site; USD 104,000 - 199,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel Corporation in Phoenix is seeking a Process Integration and Yield Engineer with a strong technical background to sustain, ramp, and transfer technology nodes in Arizona. They will drive rapid improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control.

You will perform detailed data analysis, lead continuous improvement projects, and collaborate with process teams to optimize tool and process

Qualifications

• BS in Electrical/Materials/Chemical/Mechanical/Optical Engineering, Physics, Chemistry or related STEM with 4+ years experience, or MS/PhD in the same fields.
• Knowledge of semiconductor fabrication and processing techniques (Lithography, Etch, Diffusion, Implant, Planar and Thin Films).
• DOE and Statistical Data Analysis using JMP/JSL, Python, SQL.

Responsibilities

• Perform detailed data analysis to identify root causes of defects and yield issues.
• Identify baseline sources of defects and recommend corrective actions.
• Lead continuous improvement projects for enhanced performance.
• Provide expertise on process flow segments.
• Collaborate in multi-area teams to troubleshoot complex yield problems.

Skills

Data analysis

Statistical methods

Python

SQL

JMP/JSL

Education

B.S. in Electrical Engineering

M.S. in STEM

Ph.D. in STEM

Tools

JMP/JSL

Python

SQL

Job description

Job Details: 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

• 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.

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: BS degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics or related STEM 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, Diffusion, Implant, Planay and Thin Films, 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.

Job Type: Shift: Shift 1 (United States of America)

Primary Location: US, Arizona, Phoenix

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.

Position of Trust: N/A

Benefits

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: $103,730.00-198,820.00 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.

Work Model for this Role

This role will require an on-site presence.

• 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.