Qualcomm India Private Limited
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
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
Drive the use of Generative AI and autonomous systems to improve validation coverage, engineering productivity, defect discovery, and release confidence.
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.
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.
Test Infrastructure & Platform Architecture
Drive scalable automation solutions supporting functional, integration, performance, stress, stability, and system-level validation across multiple programs, architectures, and hardware generations.
Technical Leadership & Innovation
Collaborate with software, firmware, systems, DevOps, and product teams to align validation strategies with business and release objectives.
15+ years of experience in Software Validation, Firmware Validation, Software Quality Engineering, Test Automation, or related engineering disciplines.
AI & Automation Experience
Hands-on experience leveraging LLMs such as Claude, Gemini, OpenAI, or equivalent models for test generation, code analysis, or engineering automation.
Preferred Technical Background
Experience validating firmware, platform software, systems software, embedded platforms, automotive platforms, datacenter/server products, or related technologies.
Experience with large-scale regression environments, telemetry systems, quality analytics platforms, and engineering observability solutions.
Success in this role will be measured through:
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 [email protected] 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. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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If you would like more information about this role, please contact Qualcomm Careers .
