Cybersecurity Researcher – AI Red Teaming & Cybersecurity Automation Job at Hawk

About Us

We are advancing the frontier of AI-driven cybersecurity. We design autonomous, resilient systems that defend against emerging cyber threats at machine speed. Our mission is to pioneer breakthrough capabilities in AI red teaming, automated vulnerability discovery, and intelligent cyber defense—delivering both foundational research and real-world impact for national security and critical infrastructure.

Position Overview

We are seeking a Cybersecurity Researcher with a PhD in Computer Science, Cybersecurity, Artificial Intelligence, or a related field. The ideal candidate will be a leader in AI-enabled offensive and defensive cybersecurity, with expertise in developing, testing, and evaluating automated systems for vulnerability discovery, exploit generation, and red teaming of AI models and digital infrastructure.

Key Responsibilities

• Lead AI red teaming efforts: Design adversarial strategies to probe and harden AI-driven cybersecurity systems.
• Develop autonomous security tools: Create systems that automatically identify, exploit, and remediate vulnerabilities in software, binaries, and large-scale codebases.
• Advance adversarial AI research: Build frameworks for testing robustness, trustworthiness, and resilience of machine learning and AI-enabled systems.
• Conduct offensive cybersecurity R&D: Apply techniques in fuzzing, reverse engineering, and program analysis to push the boundaries of automated cyber reasoning.
• Collaborate across sectors: Work with government, academic, and industry partners to transition cutting-edge research into operational tools.
• Publish and contribute: Produce impactful research publications and open-source contributions where applicable.

Required Qualifications

• PhD in Computer Science, Cybersecurity, AI/ML, or a related discipline.
• Demonstrated expertise in AI red teaming, adversarial machine learning, or offensive cybersecurity.
• Proficiency in languages such as Python, C/C++, or Rust, with experience in reverse engineering and vulnerability research.
• Track record of publications or technical contributions in AI security, cyber autonomy, or program analysis.
• Ability to design and evaluate large-scale, automated systems for cybersecurity.

Preferred Qualifications

• Automated exploit generation, or hybrid human-AI teaming for cyber defense.
• Background in large-scale red teaming of AI models (e.g., LLM security evaluation).
• Familiarity with cyber ranges, CTF competitions, or automated penetration testing frameworks.
• Active or eligibility for a U.S. government security clearance.

What We Offer

• Opportunities to shape the future of AI and cybersecurity.
• A collaborative, mission-driven research environment.
• Support for professional growth through publications, training, visibility and innovation initiatives.