Why this role stands out
This role offers a fantastic opportunity to significantly impact the future of software security by advancing cutting-edge AI pipelines and contributing to a recognized industry leader. You'll thrive here if you're a mid-senior engineer passionate about vulnerability research and scaling security solutions, with the flexibility of a hybrid work model. Apply to join a world-class team and grow your expertise in a dynamic environment.
Quick overview
Job description
Who We Are
AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor’s $60B exit to SpaceX, and Cognition’s $48B valuation.
The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours.
AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won’t break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets.
The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and Peloton to name a few.
Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We’ve raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital.
Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us.
What you’ll do
- 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
What we're looking for
- Bachelor's degree in engineering or a related field, with at least 5 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
At Endor Labs, we:
- Strive for excellence in everything we do, prioritizing quality, speed, and impactful outcomes.
- Engage in first principles thinking to debate ideas, test assumptions, and make decisions.
- Put data above opinions, seeking truth and clarity in all our endeavors.
- Embrace a culture of feedback and continuous improvement, assuming good intent in all interactions.
- Celebrate wins as a team, understanding that our collective success is intertwined with the success of our customers.
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