Senior Staff Process Integration Development Engineer

Intel Corporation; Chandler (AZ); Hybrid; USD 156,000 - 298,000; Full time

Benefits offered by this job

Stock bonuses

Health insurance

Retirement plan

Paid vacation

Job summary

Intel Corporation in Phoenix, AZ, is seeking a Senior MDCE professional to lead data-driven process integration efforts across TD and HVM. You will design and deploy scalable analytics infrastructure to enable inline monitoring, rapid excursions, and predictive optimization in high-volume semiconductor manufacturing.

The role requires 5+ years in semiconductor process integration, expertise in device physics, and experience with big data analytics.

Qualifications

• Master's degree in Electrical Engineering, Physics, Chemistry, Materials Science, or related STEM field.
• 5+ years in semiconductor Process Integration development and customization.
• Experience in large-volume manufacturing environments with process know-how.
• Expertise in device physics and/or interconnects and critical parameter control.
• Experience in big data analysis for process/manufacturing challenges.

Responsibilities

• Lead data-driven identification, prioritization, and resolution of process integration challenges.
• Partner with integration, process engineering, and manufacturing teams to design scalable data analytics infrastructure.
• Develop variability tracking and chamber/tool matching methodologies to detect variation and improve yields.
• Build and maintain automated databases, reporting systems, and analysis workflows for decision-making and optimization.

Skills

Leadership

Communication

Project management

Signal mining

Variability analysis

Root-cause investigation

Cross-functional collaboration

Education

Master's degree in Electrical Engineering or STEM field

Ph.D. in Electrical Engineering or STEM field

Job description

Job Details: Job Description: Join Intel and build a better tomorrow. Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel Foundry Technology Manufacturing (FTM). We bridge the critical gap between Technology Development (TD) and High Volume Manufacturing (HVM), advancing technology nodes from initial product qualification to high-yield production across multiple products while enhancing technologies for our foundry customers. MDCE is also chartered to develop new technologies on mature node infrastructure to bring new solutions to new customers at reliable yield and performance and low cost, and this is where you are going to play a role.

Key Responsibilities:

• Lead data-driven identification, prioritization, and resolution of process integration challenges through advanced signal mining, variability analysis, and root-cause investigation.
• Partner with integration, process engineering, and manufacturing teams to design and deploy scalable data analytics infrastructure that enables world-class inline monitoring, process control, and rapid excursion detection.
• Develop advanced variability tracking and chamber/tool matching methodologies to detect systematic process variation, reduce tool-to-tool differences, and improve manufacturing stability.
• Build and maintain automated databases, reporting systems, and analysis workflows that support high-volume manufacturing decision-making, predictive analytics, and machine-learning-based process optimization.

Core Competencies

• Excellent leadership capabilities with proven ability to lead cross-functional teams and foster collaboration
• Outstanding verbal and written communication skills with ability to effectively convey complex technical concepts to diverse audiences
• Demonstrated success in driving technical projects from conception to implementation

Qualifications:

Minimum Qualifications

• Master's degree in Electrical Engineering, Physics, Chemistry, Materials Science, or in a STEM related field of study
• 5+ years of semiconductor industry experience with specific focus on Process Integration development and customization
• Experience in large-volume manufacturing environments with deep understanding of manufacturing processes and platforms
• Expertise in device physics and/or interconnects and critical parameter control
• Experience in big data analysis for identifying and resolving process and manufacturing challenges

Preferred Qualifications

• Ph.D. in Electrical Engineering, Physics, Chemistry, Materials Science, or in a STEM related field of study
• Experience in project/program management and cross-functional team leadership
• Experience in new semiconductor technology development and FEOL/BEOL process optimization
• Exposure to foundry ecosystem operations and customer requirements
• Experience in yield improvement initiatives and high-volume manufacturing optimization
• Background in power-performance optimization strategy
• Experience in fabrication process engineering including lithography and advanced patterning, dry etch processes, wet cleaning technologies, diffusion processes, thin-film deposition, and chemical mechanical planarization (CMP)
• Semiconductor foundry experience

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Arizona, Phoenix

Additional Locations:

US, Oregon, Hillsboro

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.

Annual Salary Range

Annual Salary Range for jobs which could be performed in the US: $155,520.00-298,440.00 USD

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Work Model for this Role

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.