Software Engineer QA (E3)

Applied MaterialsSanta Clara, CA
$124,000 - $171,000Onsite

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.

Requirements

  • Bachelor’s Degree (or higher) in relevant field
  • 7–10 years in software quality engineering or related domain
  • 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
  • Effectively communicates complex concepts and influences cross-functional stakeholders

Nice To Haves

  • AI/ML
  • Scalability
  • Regression standardization
  • Test data management
  • Coverage optimization
  • Data analytics
  • Predictive techniques
  • AI adoption

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
  • Encourages learning, development, and career growth
  • Programs and support for personal and professional growth
  • Care for employees at work, at home, or wherever they may go
  • Comprehensive benefits package
  • Eligibility for other forms of compensation such as participation in a bonus and a stock award program
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