Software Engineer III, AI Agent Security, Core

1 Month ago • 2-4 Years • Cyber Security

Job Summary

Job Description

This Software Engineer III position at Google's Core team focuses on AI Agent Security. Responsibilities include writing and reviewing code, participating in design reviews, contributing to documentation, debugging system issues, and building secure distributed systems and APIs for AI/ML systems. The role requires experience with software development (Python, C++), data structures/algorithms, and building software for data privacy/security. Experience with secure coding practices, vulnerability analysis, and securing AI/ML systems (prompt injection, data exfiltration) is highly valued. The Core team builds foundational technical elements for Google's products, impacting critical technical decisions across the company.
Must have:
  • Bachelor's degree or equivalent experience
  • 2+ years software development experience
  • 2+ years experience with data structures/algorithms
  • 2+ years experience in data privacy/security
  • Experience with distributed systems and APIs
Good to have:
  • Experience securing platform-level infrastructure
  • Experience in software security domains
  • Experience securing AI/ML systems
  • Knowledge of threat modeling methodologies

Job Details

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).
  • Experience in designing, building, and securing distributed systems and APIs.

Preferred qualifications:

  • Experience developing security features for platform-level infrastructure or frameworks.
  • Experience in software security domains such as secure coding practices, vulnerability analysis, security architecture, and web security.
  • 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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