Job Description
**Description**
The Leidos Cyber Accelerator is seeking a hands-on applied researcher to design, execute, and automate real-world offensive security assessments while advancing ML-driven approaches to penetration testing. You will perform end-to-end automation of pentesting/red teaming (scoping → exploitation → post-exploitation → reporting), build repeatable tooling and test harnesses, and explore machine learning and reinforcement learning (RL) techniques for improving attack planning, prioritization, and autonomous decision-making.
Primary Responsibilities:
-Develop automation to support penetration tests and red-team style assessments across networks, endpoints, identity, and web apps; produce actionable, mission-aligned findings and remediation guidance.
-Leverage agentic workflows to utilize common offensive tools:
-Exploitation frameworks (e.g., Metasploit)
-Pen-test distribution tools (e.g., common Kali Linux tools)
-Fuzzing for vulnerabil...
The Leidos Cyber Accelerator is seeking a hands-on applied researcher to design, execute, and automate real-world offensive security assessments while advancing ML-driven approaches to penetration testing. You will perform end-to-end automation of pentesting/red teaming (scoping → exploitation → post-exploitation → reporting), build repeatable tooling and test harnesses, and explore machine learning and reinforcement learning (RL) techniques for improving attack planning, prioritization, and autonomous decision-making.
Primary Responsibilities:
-Develop automation to support penetration tests and red-team style assessments across networks, endpoints, identity, and web apps; produce actionable, mission-aligned findings and remediation guidance.
-Leverage agentic workflows to utilize common offensive tools:
-Exploitation frameworks (e.g., Metasploit)
-Pen-test distribution tools (e.g., common Kali Linux tools)
-Fuzzing for vulnerabil...
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