Security Researcher
פורסם 28 במאי · 0 מועמדים
התפקיד במילים פשוטות
בתפקיד זה, תבנה מערכות ייצור המניעות מחקר פגיעויות ופיתוח אקספלויטים מבוססי AI. תחקור כיצד מערכות נכשלות, תמצא, תנתח ותבין פגיעויות ברמה הנמוכה ביותר, ותעבוד עם פנימיות מערכת הפעלה וממשקי ליבה. תהיה אחראי על בעיות מקצה לקצה, מארכיטקטורה ועד הטמעה וקוד שנשלח.
- 2+ years of relevant experience
- Deep low-level systems experience: OS internals, kernel work, runtime detection, dynamic analysis, dynamic interception, or similar
- Solid grasp of how vulnerabilities are found and exploited
- A builder mindset: comfortable owning systems end to end and shipping fast, correct code
- Real comfort with ambiguity
- Vulnerability research, CTF, or offensive security experience
- High ranking on ctftime.org or similar
- Published research or notable CVEs
- Founder or early-engineer experience
- Open source contributions to OS-level tooling
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למי שיש לו ניסיון של שנתיים לפחות במערכות ברמה נמוכה, הבנה מוצקה של אופן מציאת וניצול פגיעויות, וראש בונה. הוא פחות מתאים למי שמחפש עבודת הנדסת פרומפטים או מי שאינו נוח עם עמימות.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןSecurity Researcher | Washington, D.C. (in office, 5 days/week) | Full relocation support
A small, well-funded startup is building something new: systems that use AI to find vulnerabilities and develop exploits at scale. The team moves fast and works close to the metal. It's made up of people who've done serious work before, including alumni of frontier AI labs, top US intelligence agencies, elite Israeli intelligence units, and a defense tech unicorn, backed by tier-1 US investors.
This is not a prompt engineering job. You'll work at the level of OS internals and kernel interfaces, dig into how real systems break, and ship production code where performance and correctness genuinely matter. You'll own problems from first idea to running system.
What you'll do
Build production systems that drive AI-powered vulnerability research and exploit development
Research how systems fail: find, analyze, and understand vulnerabilities at the lowest level
Work in OS internals, kernel-level interfaces, and low-level performance optimization
Own problems end to end: architecture, implementation, and shipped code
Partner with engineers and security operators to turn slow manual cyber work into automated, repeatable systems
Help set the standards and rhythm of a young team aiming to lead AI-native offensive cyber
What you'll need
~2+ years of relevant experience (exceptional new grads with real low-level work are encouraged to apply)
Deep low-level systems experience: OS internals, kernel work, runtime detection, dynamic analysis, dynamic interception, or similar
Solid grasp of how vulnerabilities are found and exploited
A builder mindset: comfortable owning systems end to end and shipping fast, correct code
Real comfort with ambiguity. This is the most important thing
Willing to be in person in Washington, D.C. five days a week (full relocation support; Tel Aviv office may be an option for the right person)
Nice to have
Vulnerability research, CTF, or offensive security experience
High ranking on ctftime.org or similar
Published research or notable CVEs
Founder or early-engineer experience
Open source contributions to OS-level tooling
Experience at a cyber/security startup (runtime detection, dynamic analysis, OS tooling)
Exposure to ML or AI systems work
If jumping on a flight across the world on short notice sounds exciting rather than stressful, you'll fit right in. This is for the engineer who doesn't just want to join a great company, but help build one.
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שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- מהמשרד
- 2+ years of relevant experience, Deep low-level systems experience: OS internals, kernel work, runtime detection, dynamic analysis, dynamic interception, or similar, Solid grasp of how vulnerabilities are found and exploited, A builder mindset: comfortable owning systems end to end and shipping fast, correct code, Real comfort with ambiguity