The ideal candidate can independently identify high-impact security problems, build reliable harnesses and evaluation pipelines, analyze large-scale vulnerability data, and drive projects toward concrete outcomes such as improved harness capabilities, validated findings, technical reports, benchmarks, responsible disclosures, open-source tools, CVEs where appropriate, or production-impacting security workflows. Evidence of original security research or high-signal technical output, such as CVEs, responsible disclosures, bug bounty findings, security conference papers, technical writeups, GitHub projects, fuzzers, harnesses, exploit analyses, AI/security benchmarks, open-source security tools, or comparable research artifacts.