Security Engineer - Vulnerability Management

The primary focus of this position is to help the team further advance Endor Labs' proprietary vulnerability database — extending and improving our existing AI pipelines, e.g., in the areas of automated vulnerability validation, reachability analysis, and exploit generation.

Responsibilities

The primary focus of this position is to help the team further advance Endor Labs' proprietary vulnerability database — extending and improving our existing AI pipelines, e.g., in the areas of automated vulnerability validation, reachability analysis, and exploit generation; Day-to-day work includes monitoring and managing pipelines that triage, enrich, and prioritize vulnerabilities at scale, working with the standards and data sources the ecosystem is built on (CVE, CWE, CVSS, EPSS, PURL, NVD, OSV, GHSA, VEX) and continuously improving the accuracy, coverage, and timeliness of our data; You will work hand-in-hand with our world-class 0-day researchers to scale automated vulnerability discovery — turning manual research workflows into repeatable, production-grade systems; You will investigate high-impact vulnerabilities and the vulnerability landscape at large, and author external-facing content — blog posts, technical write-ups, and advisories — communicating findings clearly to both technical and non-technical audiences; You will collaborate with internal teams to feed findings into detection and analysis pipelines, enrich our vulnerability database, and help improve automated coverage over time

Requirements

Bachelor's degree in engineering or a related field, with at least 3 years of hands-on professional experience in vulnerability research, vulnerability management, product security, or application security; Extensive knowledge of software vulnerabilities, triage, and prioritization, including deep familiarity with the associated standards and technologies (CVE, CWE, CVSS, EPSS, PURLs, NVD, OSV, VEX, SBOM formats); Hands-on experience building production-grade solutions at enterprise scale — e.g., CI/CD automation, management of SAST/SCA findings, or comparable security tooling deployed across large engineering organizations; Demonstrated experience shipping AI/agentic systems to production — LLM pipelines, agent frameworks, tool use, prompt and eval design — with a clear track record of measuring output quality and a sound sense of where these approaches hold up and where they don't; Proficiency in reading and analyzing code across multiple languages (Python, JavaScript/TypeScript, Java, Go), and comfort reasoning about patches, root causes, and exploitability; Experience producing external security communications: blog posts, advisories, or technical reports intended for a public or customer-facing audience

Nice to have

Experience writing proof-of-concept exploits, or with fuzzing, static analysis, or automated vulnerability discovery; Contributions to open source vulnerability databases, scanners, or related tooling (OSV, osv-scanner, OpenVEX, etc.); Familiarity with SAST, SCA, and DAST tooling and the realities of triaging their output at scale; Understanding of software supply chain security standards and frameworks (SLSA, SSDF, etc.); Prior public research, CVE credits, or published vulnerability findings; Security certifications such as OSCP, OSCE, or equivalent