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Principle Security Researcher

South Korea, Seoul · Job Posted June 16, 2026
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Job Description

This role focuses on advancing state-of-the-art vulnerability research through a combination of deep systems expertise and AI-driven innovation. The position drives the development of scalable approaches for vulnerability discovery, validation, and exploitation, enabling high-impact security outcomes across Microsoft’s products and the broader open-source ecosystem. Operating at the intersection of security and AI, the role emphasizes translating cutting-edge research into practical, end-to-end systems that deliver measurable improvements in security coverage, speed, and reliability.

Job Responsibility

  • Technical Leadership in Vulnerability Research
  • Leads advanced vulnerability research across diverse software systems
  • Designs and develops scalable security analysis methodologies
  • Drives systematic identification, validation, and root-cause understanding of vulnerabilities
  • Shapes research direction and technical strategy for the team
  • Mentors engineers and elevates overall technical rigor
  • Translates research findings into real-world security impact across Microsoft and open-source ecosystems
  • AI-Driven Bug Finding and Exploit Generation
  • Develops AI-powered systems for automated bug discovery and validation
  • Improves precision, coverage, and reliability of vulnerability detection
  • Drives exploit generation and proof-of-concept (PoC) validation
  • Ensures findings are actionable, reproducible, and security-impacting
  • Builds end-to-end pipelines from detection to confirmed vulnerabilities
  • Advances scalable security analysis at the intersection of AI and systems security

Requirements

  • Proven expertise in vulnerability research, including identifying, analyzing, and validating complex software vulnerabilities
  • Strong systems background (e.g., OS internals, compilers, networking, or distributed systems)
  • Experience with exploit development and proof-of-concept validation
  • Demonstrated experience building or applying AI/ML techniques to security problems (e.g., bug finding, program analysis, fuzzing)
  • Ability to design and implement scalable security analysis systems or pipelines
  • Strong programming skills (e.g., C/C++, Python, Rust, or similar)
  • Track record of impactful security contributions (e.g., CVEs, research publications, or production systems)
  • Ability to translate research ideas into practical tools or product-ready capabilities
  • Strong collaboration and leadership skills, including mentoring and cross-team influence

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