Software Engineer III, AI Agent Security, Core, Systems

5 Months ago • 2 Years +
Cyber Security

Job Description

This Software Engineer III role focuses on AI Agent Security within Google's Core team. Responsibilities include writing and reviewing code, participating in design reviews, contributing to documentation, debugging system issues, and ensuring best practices. The ideal candidate possesses strong software development skills (Python, C++), expertise in data structures and algorithms, and significant experience in data privacy/security (e.g., identity and access management). Experience securing AI/ML systems, knowledge of threat modeling, and familiarity with secure coding practices are highly valued. The Core team builds the fundamental technical infrastructure for Google's products, offering a unique opportunity to impact company-wide technical decisions.
Good To Have:
  • Vulnerability analysis
  • Security architecture
  • Web security
  • Threat modeling
  • Security reviews
Must Have:
  • Software development (Python, C++)
  • Data structures & algorithms
  • Data privacy/security experience
  • Secure coding practices
  • AI/ML system security

Add these skills to join the top 1% applicants for this job

algorithms
web-security
data-structures
python
foundation
innovation
networking
user-interface

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages (e.g., Python, C++) or 1 year of experience with an advanced degree.
  • 2 years of experience with data structures or algorithms.
  • 2 years of experience building software for data privacy or security (e.g., identity and access management).

Preferred qualifications:

  • Experience in software security domains such as secure coding practices, vulnerability analysis, security architecture, and web security.
  • Experience developing security features for platform-level infrastructure or frameworks.
  • Experience securing AI/ML systems, with knowledge of prompt injection or data exfiltration specific to agentic systems.
  • Knowledge of threat modeling methodologies and experience participating in security reviews.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations, and quality.

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