Engineer - AI Agentic Fuzzing & Linux Security
Qualcomm IncorporatedMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design and deploy AI-agent-driven fuzzing harnesses for Linux kernel subsystems, device drivers, and system interfaces using frameworks like LangChain, Agno, AutoGen.
Build and maintain continuous fuzzing pipelines integrated into CI/CD workflows for automated vulnerability detection using fuzzers like Syzkaller, libFuzzer, AFL++.
Perform security risk assessments, secure code reviews, root-cause analysis of bugs, and coordinate patch development across the Security Development Lifecycle (SDLC).
Minimum Requirements
Bachelor's degree in Engineering, Computer Science, Information Security, or related field with 2+ years experience OR Master's/PhD with 1+ year experience in Software/Security Engineering.
2+ years hands-on experience with programming languages such as C, C++, Python, and scripting for automation.
Demonstrated experience with Linux kernel development or security research.
Work Experience Required: Minimum 2 years in Software/Security Engineering (or 1+ year with Master’s/PhD).
Ideal Candidate Profile
Strong expertise in Linux kernel internals, device driver development, and debugging for subsystems like character devices, PCIe, USB, UART.
Proven experience deploying and managing continuous fuzzing infrastructure at scale using Syzkaller, libFuzzer, AFL++, and agentic AI frameworks for fuzz target generation.
Ability to conduct secure code review targeting memory corruption, privilege escalation, race conditions, and coordinate multi-team security deliverables.