Senior Staff Process Integration Development Engineer

Intel

Hillsboro (OR)

Hybrid

USD 156,000 - 298,000

Full time

7 hours ago
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Benefits offered by this job

Hybrid work model
Competitive compensation

Job summary

Intel in Phoenix/AZ and Hillsboro, Oregon, seeks a Senior Staff Process Integration Development Engineer to lead data-driven process integration work across TD/HVM, with a focus on scalable analytics, variability tracking, and collaboration across manufacturing teams.

The role emphasizes crossing functional teams, driving projects from conception to implementation, and contributing to high-volume manufacturing strategies in a hybrid work environment.

Qualifications

  • :// Minimum Qualifications items from HTML
  • 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

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

Skills

Leadership
Communication
Project management

Education

Master's degree in Electrical Engineering
Ph.D. in Electrical Engineering

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.

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

As a Senior Staff Process Integration Development Engineer, you will…

  • 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. Find out more about the benefits of working at Intel.
  • Annual Salary Range for jobs which could be performed in the US: $155,520.00 - 298,440.00 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.
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.

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