Senior Staff AI Security Engineer

Google•Cambridge, MA
•$262,000 - $364,000

About The Position

Google’s Security team works to create and maintain a safe operating environment for users and developers. Security Engineers work with network equipment, monitor systems for attacks and intrusions, and collaborate with software engineers to identify and fix security flaws and vulnerabilities. This role offers an opportunity for an AI and web security veteran to secure a large-scale AI surface and shape defenses for Google’s AI infrastructure. The engineer will apply vulnerability research experience to bridge offensive AI security research with large-scale defensive engineering, protect intellectual property and user data, and develop resilient AI infrastructure against advanced agentic and algorithmic threats. Pay in the US is $262,000–$364,000, plus a 25% bonus target, equity, and benefits. Individual pay is determined by job-related skills, experience, and relevant education or training.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 10 years of experience with security assessments, security design reviews, or threat modeling.
  • 10 years of experience with security engineering, computer and network security, and security protocols.
  • 10 years of coding experience in one or more general-purpose languages.
  • 10 years of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment.

Nice To Haves

  • Deep knowledge of the latest AI tooling ecosystems and Large Language Model (LLM) vulnerabilities, with a strategic mindset to anticipate the next evolution of adversarial tactics.
  • Exceptional ability to operate independently, proactively identify critical security gaps, and build comprehensive, scalable solutions from the ground up.
  • Strong capability to bridge the gap between bleeding-edge AI research and resilient defense platforms.

Responsibilities

  • Lead programmatic generation of adversarial training data for autonomous testing of product infrastructure.
  • Direct the overarching technical vision for complex, large-scale threat modeling.
  • Architect output sanitization ecosystems and web controls to neutralize novel, agentic-driven exploits.
  • Help set a technical mandate that prioritizes reproducible, durable security platforms over one-off mitigations.
  • Serve as a key leadership ally for the organization, defining cross-organizational security standards.

Benefits

  • 25% bonus target
  • Equity
  • Benefits
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