AI/Systems Engineer: Offensive Cybersecurity (ONSITE IN WASHINGTON DC)

PulseRise TechnologiesWashington, DC
Onsite

About The Position

We are hiring AI / Systems Engineers to build production systems that automate vulnerability research and exploit development. This is not a prompt engineering role. This is low-level, performance-critical, close-to-the-metal engineering. Two adjacent profiles fit: Vulnerability researchers with deep systems knowledge, and Low-level systems engineers with strong builder instincts. The non-negotiable: OS-level fluency. The company is a seed-stage AI-native offensive cybersecurity company building automated systems for Cyber Network Operations for the U.S. and allied governments. They have a high-seven-figure live government contract and are backed by Tier 1 defense and cyber investors. The team consists of 15 elite technical individuals from top AI and systems companies. Their mission is AI-driven cyber dominance, operating at the intersection of Low-level systems engineering, Offensive security, AI-driven vulnerability research, and Production-grade exploit development.

Requirements

  • 5+ years engineering experience (exceptional new grads considered)
  • Deep low-level systems knowledge (OS internals, kernel, runtime tooling)
  • Builder mindset with shipped production code
  • Comfort with ambiguity and uncertainty
  • In-person in Washington, D.C.
  • Eligible for U.S. security clearance
  • OS-level fluency

Nice To Haves

  • CTF / vulnerability research background
  • Offensive security experience
  • YC / top AI startup engineering experience
  • OS-level open-source contributions
  • Runtime detection / dynamic analysis tooling
  • ML/AI systems exposure

Responsibilities

  • AI-driven vulnerability research systems
  • Kernel-level and OS-level system interactions
  • Runtime detection and dynamic analysis tooling
  • Performance-critical exploit infrastructure
  • End-to-end system ownership (architecture → implementation → production)
  • Translating manual cyber workflows into automated systems
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