Metrology Development Engineer

FormFactor Inc.•Livermore, CA

About The Position

FormFactor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle — from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon FormFactor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America. Rooted in our core values — Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People — we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter. Shift: The regular hours for this position are day shift. The Metrology Development Engineer is a key contributor within a multidisciplinary team advancing the integration of Artificial Intelligence (AI) in the Defect Review Process across the MEMS probe manufacturing environment. This role focuses on developing, enhancing, and scaling AI‑driven solutions to improve defect detection, metrology capabilities, and wafer quality. The engineer will collaborate with technical and operations personnel to drive continuous improvement and support manufacturing teams in achieving higher First Pass Yield.

Requirements

Data Metrics
Metrology Engineering
Python (Programming Language)
Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience

Responsibilities

Metrology Applications Development Contribute to the development and deployment of AI‑based algorithms and automated workflows for defect detection and classification within MEMS probe manufacturing.
Cross‑Functional Collaboration & Technical Leadership Work collaboratively with cross‑functional teams—including process engineering, metrology, automation, and operations—to identify improvement opportunities and ensure alignment of AI‑driven solutions. Leverage technical expertise and interpersonal skills to guide technicians and operations personnel through new processes, tool usage, and AI‑based workflows. Participate in new process qualifications, engineering builds, and process validation activities related to AI and automation.
Wafer Quality & Continuous Improvement Drive continuous improvement initiatives targeting wafer quality, defectivity reduction, and First Pass Yield enhancement through increased automation and AI enablement. Analyze defect trends, inspect tool performance, and evaluate AI model accuracy to identify root causes and support corrective actions. Develop and refine automated systems that provide real‑time feedback and meaningful process data to manufacturing groups.
Documentation & Operational Support Write process documentation, including workflow instructions, standard operating procedures (SOPs), and model‑training guidelines. Provide training and day‑to‑day support for production teams using AI-enhanced defect review tools. Ensure data integrity, traceability, and proper version control of AI models, scripts, and process assets.