Software Engineer QA (E3)
About The Position
Senior quality engineering expert driving scalable, AI-enabled validation strategies and ensuring high product quality across complex software systems. Acts as a trusted advisor on quality risks, customer impact, and automation-led innovation. 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. 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.
Requirements
- Bachelor’s Degree (or higher) in relevant field
- 7–10 years in software quality engineering or related domain
Nice To Haves
- Deep knowledge in software testing, automation frameworks, and quality engineering practices
- Translates business challenges into scalable quality solutions and best practices
- Applies advanced analytical thinking to solve complex quality and system issues
- Directly influences product quality, customer satisfaction, and operational outcomes
- Effectively communicates complex concepts and influences cross-functional stakeholders
Responsibilities
- Define and implement advanced quality engineering strategies, emphasizing automation, AI/ML, and scalability.
- Develop, execute, and optimize complex test plans, frameworks, and standards with minimal supervision.
- Lead cross-functional and cross-BU initiatives (e.g., regression standardization, test data management, coverage optimization).
- Apply data analytics and predictive techniques to identify defects, prevent escapes, and assess customer risk.
- Debug and validate complex software systems, ensuring robust integration across computation, data processing, and control systems.
- Analyze test results, identify gaps, and drive corrective and preventive actions for quality improvement.
- Provide technical leadership in resolving critical issues, escalations, and systemic product challenges.
- Influence product quality direction and best practices, aligning with business objectives and customer expectations.
- Collaborate with development, architecture, and leadership teams as a trusted advisor on quality trade-offs and AI adoption.
- Maintain comprehensive documentation, standards, and reports to support traceability and continuous improvement.
Benefits
- supportive work culture that encourages you to learn, develop, and grow your career
- comprehensive benefits package
- participation in a bonus and a stock award program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
