Job Title: Senior Engineer – AI Agentic Fuzzing & Linux Security

Company: Qualcomm

Location: Sangem, Andhra Pradesh, India (Hybrid/Onsite)

Experience: 1–3 Years

Role Overview

We are seeking a Senior Security Engineer to drive Linux platform security through AI-driven automated fuzzing and continuous security assurance across embedded and mobile systems. In this role, you will design intelligent fuzzing infrastructure, leverage agentic AI frameworks to build fuzzing harnesses, perform risk assessments, and conduct secure code reviews for Linux kernel and driver stacks.

Key Responsibilities
AI-Driven Fuzzing: Design and deploy agent-driven fuzzing harnesses using frameworks like LangChain, Agno, or AutoGen.
Continuous Integration: Build and maintain continuous fuzzing pipelines (e.g., OSS-Fuzz, ClusterFuzz) within CI/CD workflows.
Vulnerability & Campaign Management: Execute fuzzing campaigns using Syzkaller, libFuzzer, and AFL++; triage crash reports and root-cause security bugs.
Security Assessments: Conduct threat modeling, risk assessments,



and secure code reviews to identify memory corruption and privilege escalation issues.
AI Research: Prototype LLM-assisted harness generation for near-autonomous target creation across recent codebases.

Qualifications Minimum Qualifications
Education: Bachelor’s degree + 2 years of experience, OR Master’s degree + 2 years, OR PhD in Computer Science, Security, or a related field.
Programming: 2+ years of hands-on experience in C, C++, or Python.
Core Expertise: Demonstrated background in Linux kernel development or security research.

Preferred Qualifications
Experience with Syzkaller, libFuzzer, or AFL++ in production.
Knowledge of Linux kernel internals (memory management, syscalls, LSM) and device drivers.
Exposure to AI/LLM orchestration frameworks and static analysis tools (CodeQL, Semgrep).
Familiarity with ARM/RISC-V architecture, low-level debugging (GDB, JTAG), or firmware/TEE security.

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