About the RoleThis requisition seeks a Senior Thin Film Metrology Engineer to support 18A (1278) technology within the Thin Film Metrology area. The engineer will be responsible for driving thin film metrology execution across the segment, including recipe development, process qualification, production support, tool ownership, and technical problem solving. The role requires close collaboration with fab, process, and technology development teams to ensure successful execution throughout the early HVM ramp and sustaining production phases, while supporting the Thin Film Metrology roadmap and strategic objectives.
The selected candidate will work closely with fab module teams, Process Integration, Yield, and Technology Development (TD) organizations to ensure thin film metrology capability, readiness, and continuous improvement.
Key Responsibilities- Perform detailed data analysis using various statistical/data mining tools to identify the root cause of parametric mismatches and OCD model integrity.
- Provide technical guidance on thin film process monitoring, tool matching, and metrology optimization.
- Lead/participate in continuous improvement projects on products and processes for improved yield performance.
- Provide expertise on process flow segments and control all aspects analysis related to these areas.
- Lead/participate in multi-area problem solving teams to provide model expertise to troubleshoot complex yield problems.
- Design and implement metrology models to deliver quick, precise feedback on product integrity and resolve yield-impacting issues.
- Collaborate closely with:
- Technology Development teams
- Process Integration teams
- Drive thin film metrology readiness for 18A technology introductions into production fabs.
- Ensure alignment of metrology capability, sampling strategies, and tool readiness with manufacturing and technology requirements.
- Drive cross-site alignment and best-practice sharing across global manufacturing fabs.
- Execute new product introductions and enable design-technology co-optimization through participation in factory task forces and design of experiments
Core Competencies - Strong problem-solving capability and communication skills, with the ability to distill complex technical information for diverse audiences.
- Proven ability to manage and execute multiple projects simultaneously, meeting tight deadlines without compromising quality.
- Track record of success working in matrixed organizations with competing priorities.
- Demonstrate experience in cross-functional teamwork and collaboration.
- Excellent verbal and written communication skills.
- Passion for innovation and driving meaningful results in a fast-paced environment
Qualifications:Minimum Qualifications - Bachelor's degree in Chemical Engineering, Materials Science, Electrical Engineering, Mechanical Engineering, Physics, or in a related engineering/science field.
- 4+ years of experience in thin film metrology techniques, applications and their interaction with high-volume manufacturing.
- 4+ years of experience in advanced-node semiconductor manufacturing, development or high-volume manufacturing.
- Working knowledge of data analysis and statistics; exposure to machine learning is a plus.
Preferred Qualifications - Post graduate degree in Chemical Engineering, Materials Science, Electrical Engineering, Mechanical Engineering, Physics, or in a related engineering/science field.
- Experience working with OCD (optical critical dimension) model development.
Job Type:Experienced Hire
Shift:Shift 1 (United States of America)
Primary Location:US, Arizona, Phoenix
Additional Locations:US, Oregon, Hillsboro
BenefitsWe 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: $133,800.00-255,200.00 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 RoleThis 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.
