> Markdown version of [/jobs/ext/4310287-staff-engineer-lead-pcvd-equipment](https://www.wearedevelopers.com/jobs/ext/4310287-staff-engineer-lead-pcvd-equipment). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Engineer Lead, PCVD Equipment - **Company:** Micron Technology, Inc. - **Location:** Boise, ID, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Machine Learning, Automation of Marketing, Yield Optimization, Data Analytics - **Published:** October 13, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3466676351&tx=KP2525FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree or higher in Engineering, Physical Sciences, or a related technical field * Minimum 5 years of semiconductor manufacturing experience with previous people leadership experience * Demonstrated success leading teams, managing multiple complex projects, and solving challenging technical problems * Strong knowledge of semiconductor manufacturing processes, equipment engineering practices, and operational excellence methodologies * Excellent communication, organizational, data analysis, troubleshooting, and decision-making skills, * Experience leading large engineering organizations in high-volume semiconductor manufacturing environments * Proven ability to build collaborative partnerships across manufacturing, engineering, facilities, and supplier organizations * Strong experience coaching, mentoring, succession planning, and talent development * Experience using AI-enabled tools, machine learning, automation platforms, or advanced data analytics to improve engineering decisions and productivity * Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield improvement initiatives ## Description * Lead and develop a team of equipment engineers to achieve manufacturing, quality, output, and cost objectives * Define team strategy, establish performance goals, and allocate resources to support business priorities * Drive equipment optimization initiatives to enhance yield, throughput, and operational efficiency * Partner with global manufacturing and engineering teams to implement best-known methods and support equipment installation, modification, and relocation projects * Communicate technical and business updates to leadership, team members, and large multi-functional audiences