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. Key Responsibilities 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 identification. • Establish meaningful quality metrics and actionable insights that improve validation effectiveness and release readiness.Test Infrastructure & Platform Architecture • Define the architecture and evolution of automation frameworks, validation platforms, and quality engineering infrastructure. • Integrate AI-powered validation workflows into CI/CD environments to deliver continuous quality feedback throughout the development lifecycle. • Drive scalable automation solutions supporting functional, integration, performance, stress, stability, and system-level validation across multiple programs, architectures, and hardware generations.Technical Leadership & Innovation • Serve as a technical leader for AI and automation initiatives across the broader quality engineering organization. • Collaborate with software, firmware, systems, DevOps, and product teams to align validation strategies with business and release objectives. • Mentor engineers in modern software quality practices, automation architecture, and AI-assisted engineering methodologies. • Influence technical roadmaps, engineering standards, and investment decisions related to quality engineering and AI adoption. • Foster a culture of innovation, continuous improvement, and engineering excellence. Preferred Qualifications Required • 15+ years of experience in Software Validation, Firmware Validation, Software Quality Engineering, Test Automation, or related engineering disciplines. • Prior experience with CPU/GPU validation with a background in CPU program-level testing will have a distinct advantage in this role, as the team sits within Qualcomm's CPU Division • Strong experience designing and scaling automation frameworks, validation infrastructure, and large-scale testing solutions for embedded firmware. • Proficiency in Python and/or C/C++ for automation, infrastructure, and tooling development. • Hands-on experience with CI/CD systems and automated validation pipelines. • Demonstrated success leading cross-functional technical initiatives across multiple teams and projects.AI & Automation Experience • Experience applying Generative AI technologies to software engineering, quality engineering, or automation workflows. • Hands-on experience leveraging LLMs such as Claude, Gemini, OpenAI, or equivalent models for test generation, code analysis, or engineering automation. • Experience building or integrating AI agents, autonomous workflows, or intelligent engineering systems. • Familiarity with prompt engineering, AI evaluation techniques, and validation of AI-generated outputs.Preferred Technical Background • Experience validating firmware, platform software, systems software, embedded platforms, automotive platforms, datacenter/server products, or related technologies. • Strong understanding of Windows and Linux-based development and validation environments. • Familiarity with ARM64, x86, and/or RISC-V architectures. • Experience with large-scale regression environments, telemetry systems, quality analytics platforms, and engineering observability solutions. Success Measures Success in this role will be measured through: • Increased adoption of AI-driven validation workflows and automation coverage. • Reduction in manual validation, analysis effort, and time to root-cause identification. • Improved product quality and release readiness. • Higher engineering productivity through AI-enabled automation. • Scalable quality platforms adopted across multiple products and engineering teams. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. 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