Member of Technical Staff, Vulnerability Management
Inferact
San Francisco, CA · $200k–$400k a year · Posted October 2, 2026
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $300,000 a year. Across 136 open member of technical staff listings that state pay, the middle half runs $212,000 to $270,000 and the median is $240,000. That is 25% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
Member of Technical Staff salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
OVERVIEW
Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build.
ABOUT THE ROLE
We're looking for a Member of Technical Staff, Vulnerability Management to own Inferact's side of vLLM's vulnerability-management process and help keep a critical piece of AI infrastructure secure and production-grade. You'll develop a deep understanding of vLLM's architecture, independently investigate vulnerability reports, and turn technical findings into clear, actionable work for the core team.
Working primarily in open source, you'll collaborate with vLLM maintainers, Red Hat counterparts, security firms, and researchers working with frontier AI models. You'll drive reports from initial triage through analysis and resolution, helping coordinate fixes, security advisories, and releases under the project's established process. You'll also identify practical security best practices that strengthen vLLM as it evolves. This is a hands-on product security role that combines technical investigation, sound judgment, and ownership of follow-through.
vLLM's vulnerability-management process https://docs.vllm.ai/en/latest/contributing/vulnerability_management/
SKILLS AND QUALIFICATIONS
Minimum qualifications:
- Hands-on product security experience, with a strong orientation toward infrastructure software and the security of complex software systems.
- Ability to read source code, debug unfamiliar systems, reproduce reported issues, and explain root cause and practical security impact rather than simply forward findings.
- Strong systems reasoning, including the ability to understand architecture, trust boundaries, deployment assumptions, and how different software components interact.
- Ability to learn vLLM's core architecture and independently manage vulnerability investigations while bringing in maintainers where their expertise is needed.
- Sound prioritization and risk-assessment judgment, with clear documentation of evidence, affected behavior, remediation needs, and next steps.
- Strong written and verbal communication, discretion with sensitive reports, and the ability to work constructively with engineers, researchers, and external security collaborators.
Preferred qualifications:
- Experience with vulnerability management and security best practices for open-source infrastructure software.
- Experience coordinating vulnerability resolution across reporters, maintainers, security teams, and software releases.
- Familiarity with vLLM, inference engines, ML infrastructure, or similarly complex distributed software; prior vLLM contributions are helpful but not required.
- Experience preparing security advisories, assessing affected versions, and working with CVE and coordinated-disclosure workflows.
- Experience translating security findings into practical architecture reviews, regression tests, secure development practices, or deployment guidance.
Bonus points if you have:
- Helped resolve vulnerabilities in an open-source infrastructure project and can explain your technical contribution and coordination with maintainers.
- Built security tooling or automation that improved investigation quality or reduced repetitive triage work.
- Turned recurring vulnerability patterns into maintainable fixes, tests, or documentation that helped prevent similar issues.
LOGISTICS
- Location: This role is based in San Francisco, California. Will consider remote in the US for exceptional candidates.
- Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.
- Visa sponsorship: We sponsor visas on a case-by-case basis.
- Benefits: Applicable benefits will be confirmed based on the final role location.
Inferact, Inc. is an E-Verify company, and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1TWSDK2aZycxydMvPle230QSwuQtuNIyM/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1WxUM6hcXhb3CuJ_nWgnMmHF99XsuT9sI/view?usp=sharing.