This role focuses on implementing and scaling AI-driven capabilities to simulate real-world attacker behavior at speed and scale across the enterprise
Job Summary
This role focuses on implementing and scaling AI-driven capabilities to simulate real-world attacker behavior at speed and scale across the enterprise.
The successful candidate will develop AI-assisted applications that automate complex offensive security workflows including reconnaissance, exploit chaining, and payload generation.
Toyota offers a comprehensive benefits package including health care, tuition reimbursement, vehicle purchase discounts, and a 401(k) plan with company matching.
Matching Summary
This role focuses on implementing and scaling AI-driven capabilities to simulate real-world attacker behavior at speed and scale across the enterprise.
Skills & Requirements
Must-have
AI-driven penetration testing implementation
LLM integration into red team pipelines
Python and PowerShell development skills
MITRE ATT&CK framework expertise
Offensive security workflow automation
Multi-stage attack simulation orchestration
Nice-to-have
AI agentic development practices
Enterprise-scale red teaming experience
Purple team exercise participation
Strong collaborative communication skills
Vulnerability management remediation knowledge
Key Requirements
Bachelor's degree in Computer Science or equivalent
5+ years of cybersecurity or related field experience
Hands-on experience integrating LLMs via APIs
CISSP, CISM, or OSCP certifications (desirable)
Master's degree in Computer Science or Cybersecurity (preferred)
Work Rights
Must have US work authorization; no sponsorship available