Technical Project/Program Management

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:
$110,500.00 - $152,000.00

Location:
Santa Clara,CA

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Key Responsibilities

• Project Planning and Coordination: Develops comprehensive project plans for defect resolution efforts and coordinates the achievement of project deliverables from planning to implementation, leveraging IT and AI tools for efficiency and accuracy.
• Process Improvement Ownership: Maintains and oversees matrix systems to identify, prioritize, and implement process improvements using AI-driven analytics and software solutions to optimize defect tracking and resolution workflows.
• Deliverable Tracking: Manages project deliverables and tasks by utilizing advanced defect tracking systems, AI-powered reporting dashboards, and automated checklists to ensure timely completion and visibility of progress.
• Resource Alignment: Coordinates and optimizes the activities of internal resources within the business unit, incorporating AI tools to predict resource performance and ensure on-time delivery of defect-related projects while staying within budget constraints.
• Cost Monitoring: Tracks, monitors, and reports on the cost implications of defect-related projects, leveraging AI-driven predictive analytics to foresee budget risks and optimize expenditure.
• Cross-Team Collaboration: Participates in cross-functional design and development teams to address defect-related challenges. Supports collaboration between business units by integrating AI-powered solutions to enhance communication and streamline processes.

• Demonstrates deep conceptual and practical expertise in defect management systems, including defect tracking, analysis, and resolution processes. Exhibits advanced knowledge of IT and software development methodologies, including the application of AI/ML algorithms to optimize defect prevention and quality assurance.

• Possesses knowledge of industry best practices for defect management and understands how AI-driven solutions integrate with broader business operations. Aware of competitive strategies and differentiators in defect prevention, quality control, and AI-enabled software tools.

• Serves as a resource for team members with less experience in defect management methodologies and AI/IT solutions. May lead defect-focused projects with manageable risks and resource requirements, ensuring alignment with organizational priorities and technological advancements.

• Solves complex defect-related issues by leveraging AI-powered tools and innovative approaches. Develops new perspectives on existing solutions through predictive analytics, machine learning models, and automation technologies that enhance resolution efficiency.

• Influences a wide range of activities related to defect identification, resolution, and prevention across teams, incorporating AI-driven tools and IT solutions to enhance product quality and customer satisfaction. Ensures alignment with organizational guidelines and policies.

• Effectively communicates complex and sensitive defect-related information, including insights derived from AI analysis, to stakeholders. Builds consensus across teams to foster collaboration and drive solutions that integrate AI technologies to improve quality standards.