AI & Automation Lead -Senior Staff Engineer

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. • 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Senior Staff Engineer – AI & Automation Lead   Software Quality Engineering     About the Role   As a leading technology innovator, Qualcomm pushes the boundaries of what is possible to enable next-generation experiences and drive digital transformation. We are seeking a Senior Staff Engineer to lead the adoption of Artificial Intelligence and intelligent automation within Software Quality Engineering.   In this role, you will define and drive the strategy for AI-powered validation across firmware, platform, and system-level software. You will architect and scale next-generation quality platforms that leverage Generative AI, autonomous agents, data-driven quality intelligence, and advanced automation to fundamentally improve how software is validated, analyzed, and released.   This is a highly visible technical leadership position that combines deep expertise in software quality engineering with a passion for applying emerging AI technologies to solve complex engineering challenges. You will work across engineering, product, and infrastructure teams to modernize validation practices and improve product quality across multiple programs and product generations.

AI-Powered Quality Engineering   Define and execute the roadmap for AI adoption within Software Quality Engineering.   Drive the use of Generative AI and autonomous systems to improve validation coverage, engineering productivity, defect discovery, and release confidence.   Establish best practices for AI-assisted test development, validation workflows, and engineering automation.   Identify opportunities to transform traditional validation processes through AI-driven solutions.   Autonomous Validation Systems   Design and develop intelligent validation systems capable of generating, executing, analyzing, and maintaining test assets with minimal manual intervention.   Leverage AI to automate test development, exploratory testing, coverage analysis, regression management, and defect triage.   Develop scalable validation solutions that support complex software and firmware ecosystems across multiple product generations.   Evaluate and integrate emerging AI technologies that deliver measurable engineering and quality benefits.   Quality Intelligence & Analytics   Build AI-driven capabilities for failure triage, defect clustering, anomaly detection, quality trend analysis, and validation risk assessment.   Develop intelligent systems that leverage logs, telemetry, crash data, and execution history to improve engineering decision-making and accelerate root-cause