Senior Security Researcher

• The primary tasks of this position relate to the detection, triage, and analysis of malicious open source software components — identifying threats across public package ecosystems (npm, PyPI, Maven, etc.) and assessing their scope, intent, and impact.
• Day-to-day work includes triaging and assessing incoming malware alerts, reviewing Indicators of Compromise (IoCs), and maintaining threat campaign records to track attacker infrastructure, tactics, and patterns over time.
• A core responsibility is the in-depth technical analysis of suspicious packages: reverse-engineering obfuscated code, identifying malicious behaviors (exfiltration, backdoors, dependency confusion, typosquatting, etc.), and producing detailed internal assessments.
• You will author and publish external-facing content — blog posts, technical write-ups, and security advisories — communicating findings clearly to both technical and non-technical audiences, and contributing to the broader security community's awareness of emerging threats.
• You will collaborate with internal teams to feed findings into detection pipelines, enrich our vulnerability and threat database, and help improve automated detection coverage over time.

• Bachelor's degree in engineering or a related field, with at least 3 years of hands-on professional experience specifically in malware analysis, threat intelligence, or open source package security
• Demonstrated experience triaging security alerts at scale and working within or alongside a SOC or threat intelligence team
• Hands-on experience reviewing and interpreting IoCs (file hashes, domains, IPs, behavioral signatures) and maintaining threat campaign tracking
• Proficiency in reading and analyzing code across multiple languages (Python, JavaScript/TypeScript, Java, Go) — including obfuscated or minified code
• Experience producing external security communications: blog posts, advisories, or technical reports intended for a public or customer-facing audience
• Understanding of package manager ecosystems and common attack patterns (typosquatting, dependency confusion, malicious install scripts, etc.)

• Experience contributing to or operating threat intelligence platforms or malware databases
• Familiarity with static and dynamic analysis tooling (sandboxes, YARA rules, SAST tools)
• Understanding of software supply chain security standards and frameworks (SLSA, SSDF, etc.)
• Prior public research, CVE credits, or published malware findings
• Security certifications such as GREM (GIAC Reverse Engineering Malware) 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.

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.