Google is a leading technology company seeking a Senior Security Engineer for its Threat Intelligence Group. This role involves working with AI technologies to identify and mitigate cyber threats, as well as producing tailored cyber threat intelligence reporting and facilitating collaboration across teams.
Responsibilities:
- Identify, understand, and communicate critical threats and vulnerabilities unique to AI/ML systems, advocating for improved intelligence sharing across client and Google stakeholders
- Produce tailored cyber threat intelligence reporting, including predictive analysis of future AI-enabled threat scenarios and assessments of adversary AI use in the wild
- Communicate complex technical findings regarding AI security threats, vulnerabilities, and incident response insights effectively to both technical and non-technical audiences
- Foster cross-functional collaboration with data scientists, engineers, analysts, and third-party partners to address complex AI security challenges using industry best practices. Develop training materials and conduct knowledge transfer, including vulnerability detection workshops and train-the-trainer sessions for client personnel
- Document detection logic, model architectures, and operational procedures, creating best practice guides for integrating AI-driven detection into the Software Development Life Cycle (SDLC)
Requirements:
- Bachelor's degree in Computer Science or a related technical field or equivalent practical experience
- 5 years of experience with security assessments or security design reviews or threat modeling
- 5 years of experience with security engineering, computer and network security and security protocols
- 1 year of experience leading technical teams or leading technical risk analysis
- Experience applying Cyber Threat Intelligence (CTI) methodologies to support monitoring, detection, and response capabilities within cyber security organizations
- Possess an active TS/SCI security clearance with a full-scope polygraph
- Experience in one or more of the following areas: malware reverse engineering, network forensics, threat hunting, or cloud security incident response
- Understanding of AI/ML concepts (large language models (LLMs), predictive modeling, data pipelines) with the ability to discuss them fluently with both engineers and non-technical staff