Senior Engineer - AI Agentic Fuzzing & Linux Security

## 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 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. # Senior Engineer – AI Agentic Fuzzing & Linux Security ## About the Role We are looking for a Senior Security Engineer to contribute to the area of Linux platform security, with a focus on AI-driven automated fuzzing and continuous security assurance across embedded and mobile platforms. The person will be responsible for designing and deploying intelligent fuzzing infrastructure, developing fuzzing harnesses using agentic AI frameworks, performing security risk assessments, and conducting secure code reviews for Linux kernel and driver stacks. The ideal candidate possesses a strong security-first mindset, hands-on experience with industry-leading fuzzers, and a passion for leveraging AI/LLM-based agentic frameworks to scale and automate vulnerability discovery. ## Key Responsibilities * Design, develop, and deploy AI-agent-driven fuzzing harnesses targeting Linux kernel subsystems, device drivers, and system interfaces using frameworks such as LangChain, Agno, AutoGen, or similar agentic orchestration tools. * Build and maintain continuous fuzzing pipelines (e.g., OSS-Fuzz, QSS-Fuzz, ClusterFuzz) integrated into CI/CD workflows for automated vulnerability detection. * Develop and tune fuzzing campaigns using popular fuzzers including Syzkaller, libFuzzer, AFL++ and custom mutation strategies. * Perform security risk assessments and threat modeling on Linux platform components, kernel modules, and firmware interfaces. * Conduct thorough secure code reviews to identify memory corruption, privilege escalation, race conditions, and other vulnerability classes (CWEs). * Triage and analyze crash reports, root-cause security bugs, and coordinate patch development with owning teams. * Research and prototype LLM-assisted harness generation, enabling near-autonomous fuzzing target creation for new codebases. * Collaborate with platform, kernel, and security teams to integrate security requirements across the Security Development Lifecycle (SDLC). ## Ideal Candidate Profile The ideal candidate also needs to have: * Strong knowledge of Linux kernel internals — memory management, scheduling, IPC, syscall interface, and kernel security mechanisms (LSM, seccomp, namespaces). * Deep expertise in Linux device driver development (character devices, platform drivers, PCIe, USB, UART, etc.) and driver debugging. * Hands-on experience with agentic AI frameworks and the ability to build autonomous agents that reason over codebases to generate and evolve fuzz targets. * Experience deploying continuous fuzzing infrastructure at scale — job scheduling, corpus management, crash deduplication, and...