Process Integration Development Engineer

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision. Join us and build on our legacy of innovation and collaboration as we deliver world‑changing technology that improves the life of every person on the planet.

Process Integration and Yield Engineer in Defect Metrology. This dynamic position focuses on driving technology transfers, optimizing manufacturing processes, and improving yield in a startup and high-volume production environment.

Job Type: Experienced Hire |

Shift: Shift 1 | Primary

Location:

US, Oregon, Hillsboro

• Perform detailed data analysis using statistical and data mining tools to identify root causes of defect and yield issues.
• Drive low yield analysis and yield improvement activities, collaborating with internal and external stakeholders.
• Define roadmaps to meet requirements, goals, and milestones for incoming technology transfers.
• Design and implement continuous improvement initiatives to prevent quality, line yield, and sort yield excursions.
• Develop and establish flow, procedures, and equipment configurations for process modules.
• Design, execute, and analyze experiments necessary to meet engineering specifications for processes.
• Extract insights from structured and unstructured data using statistical methods.
• Conduct quality and reliability risk assessments for discrepant manufacturing materials and process changes.
• Lead quality and integrated defect and parametric measurement in startup and high-volume manufacturing environments.
• Serve as a domain expert, influencing technical direction across Intel and the industry while mentoring others and fostering technical community growth.
• Formulate and align organizational goals with technical vision, driving the execution of strategies to bring innovative products and technologies to market.

• Ph.D. with 4+ years of semiconductor industry experience OR Masters with 6+ years of semiconductor industry, process and yield engineering experience in Materials Science, Chemical Engineering, Mechanical Engineering, Electrical Engineering, Chemistry, Physics, or semiconductor-related STEM fields.
• Experience in semiconductor processing/fabrication and processing techniques (Lithography, Etch, CMP, Thin Films, Plating, etc.).
• Knowledge of Statistical Process Control, Design of Experiments, and data analysis using JMP/JSL, Python.

• Proven track record of delivering innovative solutions and driving continuous improvement initiatives.
• Skilled in cross‑functional collaboration and stakeholder management to drive impactful results.
• Experience leading project and cross‑functional teams.
• Proficiency in data mining and statistical analysis.
• In‑depth knowledge of manufacturing process change, process characterization, and process integration.
• Expertise in failure analysis, yield analysis, and process improvement methodologies.
• Electrical characterization of transistors or other semiconductor devices.
• Background in defect inspection, defect review, or metrology techniques used in semiconductor manufacturing.
• Experience in advanced technology node in Process/Yield Engineering.
• Programming experience in JMP/JSL, Python, R and SQL.
• Comfortable with handling large data, data cleaning, data visualization, and data analysis.
• Experience in image processing and classification.

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.

This role will be eligible for our hybrid work model, allowing employees to split their time between working on‑site at their assigned Intel site and off‑site. Additional information about work model, location or time type is subject to change.

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.