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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Yield Architecture & Engineering - **Company:** Qualcomm - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $216,400.0 - $324,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Computer Engineering, Software Debugging, Decision Support Systems, Application Specific Integrated Circuits, Build Management, Information Technology, Data Analytics, Data Pipelines - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c0fd76e9380f74e3 ## About the Role Do you have experience in Integrated circuits (ICs)?, * Bachelor's degree in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience., Master's degree in Science, Engineering, or related field and 7+ years of ASIC design, verification, validation, integration, or related work experience. OR PhD in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience., * Bachelor's degree in Engineering, Computer Science, or a related field. * 10+ years of experience in semiconductor design, product engineering, hardware engineering, yield analysis, or post-silicon debug, including substantial experience driving yield improvements across complex silicon products. * 5+ years of experience in technical leadership or people management, with a demonstrated record of building respected, high-performing engineering teams, developing leaders, and driving meaningful organizational impact across functions or sites. * People Leadership Excellence: Strong track record of leading with empathy, clarity, and accountability, with the ability to grow talent, navigate change, and build healthy team culture in high-performance engineering environments. * Automation and AI Depth: Proven experience building or scaling automation, analytics, or AI-driven workflows for engineering productivity, debug efficiency, or decision support in semiconductor or adjacent technical domains. * Design for Yield and Systems Mindset: Demonstrated ability to influence architecture and engineering decisions with a strong understanding of Design for Yield, manufacturability, debug, and system-level tradeoffs. * Community Builder: Demonstrated ability to bring stability, clarity, and deep collaboration to complex or evolving team environments. ## Description We are seeking a strategic, technically deep, and people-centered leader to serve as Director on the Yield Management team. This role will build on the strong foundation already in place by advancing Design for Yield (DFY) in the architecture definition process, expanding the use of automation and AI across yield analysis and debug workflows, and supporting a high-performing organization grounded in strong people leadership. The charter for this role is threefold. First, lead Design for Yield by creating resilient architectures that build on lessons learned and proactively account for yield, defect tolerance, redundancy, and manufacturability from the earliest stages of design. Second, embrace automation and AI to thoughtfully evolve yield analysis, debug, and management through scalable data pipelines, predictive analytics, and intelligent decision-support systems. Third, serve as a people-first manager for the yield analysis, debug, and management team by developing talent, fostering trust and accountability, and creating an environment where engineers can do their best work., * Design for Yield Leadership: Guide a proactive Design for Yield strategy by partnering with architecture, design, product, and test teams to embed yield resiliency into product definition and implementation. Establish design principles, feedback mechanisms, and decision frameworks that strengthen defect tolerance, redundancy, diagnosability, and manufacturability across complex silicon programs. * Automation, AI, and Yield Systems: Lead the continued evolution of yield analysis, debug, and management from fragmented manual workflows toward scalable, data-driven systems. Build and deploy automation frameworks, analytics platforms, and AI-enabled solutions that accelerate root-cause analysis, improve signal detection, reduce turnaround time, and increase engineering productivity. * People-First Team Leadership: Lead, coach, and develop the yield analysis, debug, and management team with a people-first mindset. Create a culture of trust, inclusion, accountability, and technical excellence across distributed teams. Set clear goals, invest in career growth, remove organizational friction, and ensure the team has the structure, support, and clarity needed to succeed. * Operational Excellence and Continuous Improvement: Establish disciplined operating mechanisms for yield management, including standardized workflows, metric-driven reviews, and continuous improvement practices. Apply sound engineering judgment and scalable processes to improve execution quality, increase visibility to risks and opportunities, and sustain long-term organizational effectiveness. * Cross-Functional Influence: Build strong partnerships across design, product, manufacturing, test, data, and executive leadership teams to align yield priorities with business goals. Influence decisions through technical credibility, clear communication, and collaborative problem solving in a fast-moving, cross-functional environment. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [The Billion Dollar Machine: First Time Right.](https://www.wearedevelopers.com/videos/393-the-billion-dollar-machine-first-time-right) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Characteristics of a Software Engineer](https://www.wearedevelopers.com/magazine/166-top-characteristics-of-a-software-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Answer the Interview Question: “Why Do You Want to Be a Software Engineer?”](https://www.wearedevelopers.com/magazine/392-how-to-answer-the-interview-question-why-do-you-want-to-be-a-software-engineer)