Vulnerability Research Analyst

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world’s most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to empower our team and support our customers in building a safer global future.

Overview of Opportunity

We are seeking a Vulnerability Research Analyst to conduct software security evaluations using state-of-the-art AI evaluation harnesses. This position focuses purely on analyzing extracted source code and compiled binaries from specialized COTS/GOTS systems, evaluating automated vulnerability-finding performance, and assessing system resilience without needing direct hardware-level manipulation.

Key Responsibilities & Duties

• Perform static and dynamic software vulnerability analysis on pre-extracted COTS/GOTS source code repositories and firmware images. • Deploy AI-guided fuzzing and automated vulnerability detection suites to evaluate complex software architectures and identify high-risk logic flaws. • Validate automated tool output by tracing execution paths in code to determine root causes and real-world exploitability. • Develop custom CodeQL queries, Semgrep rules, and Abstract Syntax Tree (AST)-based detection signatures to codify newly discovered bug patterns and automate regression testing across software evaluations. • Present vulnerability perspectives, risk assessments, and testing metrics to program managers, stakeholders, and intelligence community partners.

Qualifications & Skills

• Active US Security Clearance of Top Secret/SCI with polygraph • Degree in Computer Science, Computer Engineering, Information Security, or equivalent practical experience. • Experience in vulnerability research, static source code analysis, reverse engineering, or software security audits. • Solid understanding of memory management, pointer arithmetic, and common software security flaws in compiled and managed languages. • Familiarity with automated static/dynamic code analysis concepts and AI-driven automation tools.

Nice to Have

• Experience authoring or tuning custom static analysis rules using CodeQL, Semgrep, or Tree-sitter parsers. • Familiarity with firmware emulation tools and frameworks (e.g., QEMU, Unicorn Engine, Avatar2, or Ghidra/IDA emulator plugins) to run extracted binaries without physical hardware. • Experience creating or adapting custom test drivers, stubs, and harness interfaces for unit-level software execution. • Knowledge of machine learning applications in automated bug discovery, symbolic execution, or AI-assisted code analysis. • Prior experience delivering technical vulnerability assessments on DoD or IC defense programs.