AI/Systems Engineer - Autonomous Cybersecurity Systems

Urban Recruits • Israel
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AI Summary

Join a rapidly growing cybersecurity startup as an AI/Systems Engineer to develop infrastructure for automated vulnerability research and exploit generation. Design and develop production systems, collaborate with security researchers, and contribute to technical standards. 2+ years of software engineering experience required.

Key Highlights
Develop infrastructure for automated vulnerability research and exploit generation
Design and develop production systems
Collaborate with security researchers
Key Responsibilities
Design and develop production systems for automated vulnerability discovery and exploit workflows
Work across low-level infrastructure including operating systems, kernels, runtime environments, and performance-sensitive components
Own technical initiatives from architecture through implementation and deployment
Technical Skills Required
Low-level systems OS internals Kernel development Runtime analysis Instrumentation Interception
Benefits & Perks
Relocation support available
Availability to work onsite in Washington, D.C. five days per week

Job Description


About the Company

A rapidly growing cybersecurity startup is building AI-driven autonomous systems for advanced cyber operations, automating vulnerability research, exploit development, and security workflows end-to-end.

Backed by leading investors in AI, defense, and cybersecurity, the company already works with major customers and brings together a lean, highly technical team across the U.S., Europe, and Israel.

The mission is to define the future of AI-powered offensive cybersecurity in a fast-growing global market.

About the Position

The company is looking for AI/Systems Engineers to develop the infrastructure powering automated vulnerability research and exploit generation.

This is a deeply technical engineering role focused on low-level systems rather than application-layer AI or prompt workflows. Engineers in this role will work close to hardware and operating systems, building performant, production-grade systems with strong reliability requirements.

The team is considering candidates from two complementary backgrounds:

  • Engineers with hands-on vulnerability research, exploitation, or CTF experience and strong systems knowledge
  • Low-level systems builders with exceptional engineering fundamentals, even without formal offensive security backgrounds

A strong understanding of systems internals is essential.

Responsibilities

  • Design and develop production systems for automated vulnerability discovery and exploit workflows
  • Work across low-level infrastructure including operating systems, kernels, runtime environments, and performance-sensitive components
  • Own technical initiatives from architecture through implementation and deployment
  • Collaborate closely with security researchers and engineering teams to automate manual offensive workflows
  • Contribute to technical standards, engineering practices, and product direction in a high-performance environment

Requirements

Required

  • 2+ years of software engineering experience (outstanding early-career candidates may also be considered)
  • Strong experience with low-level systems, such as OS internals, kernel development, runtime analysis, instrumentation, interception, or similar domains
  • Ability to independently build and ship end-to-end systems with focus on performance and correctness
  • Comfortable operating in ambiguous, fast-moving environments
  • Availability to work onsite in Washington, D.C. five days per week (relocation support available)
  • Ability to meet eligibility requirements tied to government-related projects

Preferred

  • Background in vulnerability research, offensive security, or CTF competitions
  • Experience building security or cyber-focused infrastructure products
  • Contributions to open-source systems tooling or OS-level projects
  • Experience in high-bar AI, infrastructure, or security organizations
  • Familiarity with ML/AI systems or production AI infrastructure


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