Director, Automation - Yield Management

Job Title

Director, Automation - Yield Management

Role Summary

Lead the automation strategy and execution for Yield Management within Process Packaging Solutions. Build systems, workflows, dashboards, and AI-enabled tools to make yield engineering more predictable, visible, and repeatable.

The role combines technical leadership in software, data, and automation with governance and team-building responsibilities to institutionalize operating discipline, reduce manual effort, and increase engineering capacity.

Experience Level

Senior - this is a leadership role requiring substantial technical and people-management experience. See Education Requirements for specific years-of-experience guidance tied to degree level.

Responsibilities

Deliver and scale automation, operating discipline, and cross-functional integration for yield engineering.

• Design and automate governance processes: project intake, prioritization, roadmap tracking, operating reviews, lessons learned, CAPA tracking, decision logs, KPIs, and status reporting.
• Define and drive the automation roadmap for yield, diagnostics, analytics, engineering operations, and reporting.
• Lead development of automation frameworks, data pipelines, dashboards, engineering applications, and AI-enabled decision-support systems.
• Translate expert workflows into repeatable systems while preserving domain ownership with yield, diagnostics, design, and manufacturing teams.
• Build and coach a distributed automation team across software, data, AI, and infrastructure disciplines; implement cross-training and succession planning.
• Establish operating rhythms, shared standards, and team practices to reduce silos and increase collaboration across sites and functions.
• Drive continuous improvement to reduce manual effort, improve quality, and free senior engineering capacity for strategic work.

Requirements

Core technical and leadership skills expected for successful performance in this role.

• Must-have: Significant experience leading automation platforms, engineering applications, or data pipelines for complex engineering environments.
• Must-have: Proven people leadership experience building and managing distributed technical teams and establishing operating discipline (project planning, reviews, CAPA, lessons learned).
• Must-have: Technical depth in software and data engineering: Python or similar, database systems, APIs, CI/CD, data modeling, visualization, and maintainable software practices.
• Must-have: Familiarity with semiconductor workflows (yield, diagnostics, test, EDA tools, manufacturing data) and ability to translate domain expertise into scalable automation.
• Nice-to-have: Experience applying machine learning, LLMs, or AI-enabled workflows for anomaly detection, diagnostics, or decision support.
• Nice-to-have: Exposure to distributed compute, large-scale dashboards, EDA infrastructure, or advanced packaging and 3DIC programs.
• Nice-to-have: Track record of prioritizing work by business impact, quality improvement, risk reduction, and readiness for new technology programs.

Education Requirements

One of the following is expected: Bachelor's degree in Science, Engineering, or a related field with 8+ years of relevant ASIC design, verification, validation, integration, or related experience; OR Master's degree in Science, Engineering, or a related field with 7+ years of relevant experience; OR PhD in Science, Engineering, or a related field with 6+ years of relevant experience. Equivalent practical experience may be considered.

About the Company

Company: Qualcomm

Headquarters: San Diego, California, United States

Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.