Low-Level AI Security Systems Engineer

Zealot Labs, Inc.

New York (NY)

On-site

USD 105,000 - 165,000

Full time

25 hours ago
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Benefits offered by this job

Relocation support

Job summary

Zealot Labs, Inc. is building AI-driven cyber tools in New York City, with an on-site requirement and relocation support. The team, backed by top investors, focuses on low-level systems, vulnerability research, and production-grade code across kernel internals and OS interfaces.

Ideal candidates bring 2+ years in engineering, deep OS-level experience, and a strong builder mindset. This early-stage startup emphasizes ownership, performance, and the ability to deliver end-to-end systems in a

Qualifications

  • 2+ years of engineering experience.
  • Deep low-level systems experience: OS internals, kernel work, runtime detection, dynamic analysis, dynamic interception, or comparable.
  • Strong builder mindset with ownership of end-to-end production code.

Responsibilities

  • Build production systems that conduct AI-driven vulnerability research and exploit development at scale.
  • Work close to the metal: OS internals, kernel interfaces, and low-level performance optimization.
  • Own problems end-to-end across architecture, implementation, and shipped production code.
  • Partner with vulnerability researchers, security operators, and the engineering team to automate cyber operations.
  • Help define the standards and operating cadence of a team that aims to set the bar for AI-native cyber.

Skills

Low-level systems
Kernel development
Operating system internals
C/C++
Performance optimization
End-to-end ownership
Ambiguity tolerance
Security research
In-person NYC

Tools

OS-level tooling

Job description

Zealot Labs, Inc. is building AI-driven cyber tools in New York City, with an on-site requirement and relocation support. The team, backed by top investors, focuses on low-level systems, vulnerability research, and production-grade code across kernel internals and OS interfaces.

Ideal candidates bring 2+ years in engineering, deep OS-level experience, and a strong builder mindset. This early-stage startup emphasizes ownership, performance, and the ability to deliver end-to-end systems in a

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