Product Security Engineer — Security & Agentic AI 2

Overview

Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

About the Role

We are seeking a highly skilled and experienced Product Security Engineer to design, develop, and scale an AI-driven security automation engine that will integrate directly into Keysight’s Software Development Life Cycle (SDLC). This role will lead the development of an intelligent system capable of:

• Understanding the full Software Development Life Cycle (SDLC) and shifting left automation of remediation tasks earlier in the SDLC
• Consuming and interpreting scan data from our vulnerability assessment platform
• Automatically generating exploit and testing scripts using AI
• Validating vulnerability existence with high confidence and reproducibility earlier in the SDLC
• Feeding verified results back into the UI with reliability, auditability, and traceability
• Providing AI-assisted code patching, secure coding recommendations, and CI/CD automation to accelerate mitigation workflows earlier in the SDLC

About the Team:

You will collaborate with product owners, security researchers, and full stack engineers to build advanced autonomous security capabilities that enhance Keysight’s Software Development Life Cycle (SDLC).

Key Responsibilities:

• Seamlessly integrate security automation into Keysight’s Software Development Life Cycle (SDLC)
• Enable ingestion, normalization, and correlation across Black Duck SCA, Nessus Vulnerability Management, Burp Suite DAST, SAST tools, and product telemetry

• Design and implement AI models that interpret vulnerability scan data and autonomously generate exploit scripts
• Build automated validation pipelines using sandboxed and orchestrated environments
• Develop classification and scoring logic with strong confidence metrics
• Implement guardrails, safety classifiers, and auditing for safe LLM operations

• Build multi‑agent reasoning workflows to reduce false positives
• Produce high-fidelity Vulnerability Verification Evidence Packages (VVEP) with logs, traces, and reproducible exploit outcomes

• Deliver AI-generated secure code recommendations and automated patching workflows
• Integrate remediation automation into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)

• Support AI-enhanced penetration testing, API fuzzing, and dynamic security validation
• Work with security researchers to improve exploit reliability and detection precision

• Partner with product teams and engineering leadership to ensure validated results drive actionable remediation
• Influence secure development practices and drive adoption of security automation across product teams

Must Haves:

• Bachelor’s degree in Computer Science, Computer Engineering, Cybersecurity, AI/ML, or a related field.
• 3-6 years of R&D experience, with a strong preference for AI and security‑focused work.
• Python proficiency, security automation frameworks, and CI/CD integration.
• Experience with secure software development practices and vulnerability management.
• Hands-on experience with SAST, DAST, SCA, container scanning, and other security tools.
• Familiarity with Git, CI/CD pipelines, build automation, and DevSecOps principles.
• Familiarity with LLMs, AI-assisted security workflows, or Agentic AI concepts.
• Ability to operate independently and contribute to technical decision-making.
• Excellent communication and cross‑team collaboration skills.

We Value:

• Master’s degree in Cybersecurity, Computer Science, or a related technical field.
• Hands‑on AI application development experience with exposure to AI/LLMbased verification or autonomous testing frameworks.
• Practical experience with AI/ML‑based security automation or Agentic AI/LLM integration (OpenAI, Azure OpenAI, HuggingFace).
• Exposure to cloud security or container/Kubernetes security for software development pipelines.
• Experience with penetration‑testing methodologies (OWASP, PTES, MITRE ATT&CK).
• Understanding of vulnerability types (CVE/CWE), exploit vectors, and modern attack techniques.
• Experience with multitool security data environments (SAST + DAST + SCA + VM).
• Experience producing SBOM, VEX, VVEP, or SARIF artifacts.
• Working knowledge of Docker, Kubernetes, and modern CI/CD platforms.
• Background in fuzzing, exploit development, or dynamic testing automation.
• Experience integrating tooling into CI/CD systems.
• A passion for continuous improvement and learning.
• Excellent problem-solving skills and attention to detail.
• Proven ability to work cross-functionally and influence without authority.