Vulnerability Researcher - Onsite NY, Equity & Impact

Zealot Labs, Inc.

New York (NY)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

Zealot Labs, Inc. is a early-stage startup in New York focused on APPLIED AI and vulnerability research. We design agentic systems to autonomously perform vulnerability research against real targets across firmware, networks, and IoT, with hands-on work in emulation, fuzzing, and exploit primitives.

You will contribute to the evaluation infrastructure, tool interfaces, and production-grade harnesses, requiring deep RE skills and proficiency with multiple emulation stacks. Equity is offered.

Qualifications

  • 2–3+ years across systems programming (C/C++, Rust) and ML infrastructure.
  • Comfort with binary analysis, memory corruption classes, and mitigations (ASLR, CFI, PAC, MTE).
  • Hands-on work with agent harnesses — orchestration, tool-use, eval loops — in production or benchmark scale.
  • Fluency with at least one emulation stack (QEMU, Unicorn, Qiling, PANDA, FirmAE).
  • Strong RE / debugger chops (GDB, IDA or Ghidra).

Responsibilities

  • Help design and build agentic systems that autonomously perform vulnerability research against real targets: firmware, network stacks, mobile OSes, and IoT.
  • Wire emulation (QEMU, Unicorn, Qiling), instrumentation (Frida, DynamoRIO), fuzzing, and exploit primitives into tool interfaces for agents.
  • Build the evaluation and benchmarking infrastructure that tells us whether any of it is actually working.
  • 2–3+ years across systems programming and ML infrastructure.
  • Comfort with binary analysis and modern mitigations.
  • Hands-on work with agent harnesses — orchestration, tool-use, eval loops — in production or at benchmark scale.

Skills

C/C++
Rust
Binary analysis
GDB/IDA/Ghidra
Emulation stacks
Fuzzing
Tooling orchestration
ML infrastructure

Tools

QEMU
Unicorn
Qiling
PANDA
FirmAE
Frida
DynamoRIO

Job description

Zealot Labs, Inc. is a early-stage startup in New York focused on APPLIED AI and vulnerability research. We design agentic systems to autonomously perform vulnerability research against real targets across firmware, networks, and IoT, with hands-on work in emulation, fuzzing, and exploit primitives.

You will contribute to the evaluation infrastructure, tool interfaces, and production-grade harnesses, requiring deep RE skills and proficiency with multiple emulation stacks. Equity is offered.

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