Drimva

Google

Senior Staff Software Engineer, AI/ML Security

Kirkland, WA, USA +2 · Senior Staff · Full-time · Posted Oct 19, 2026

Location
Kirkland, WA, USA
Seattle, WA, USA
Sunnyvale, CA, USA
Experience
8 years in software development; 7 years leading technical project strategy, ML design, and industry-scale ML infrastructure; 5 years in one or more specified ML areas; 5 years in design and architecture and testing/launching software products. Preferred: 8 years with data structures and algorithms; 5 years in technical leadership; 5 years programming in Java.
Education
Bachelor’s degree or equivalent practical experience.

About the job

Sets technical strategy and leads development of Google Cloud systems that protect generative AI models and enterprise data from threats such as prompt injection, jailbreaking, and data leakage.

What you'll do

  • Define long-term technical goals and architecture for Model Armor and Sensitive Data Protection.
  • Lead scalable, low-latency threat detection and mitigation systems.
  • Align security roadmaps across Google Cloud, DeepMind, and other product areas; build consensus and mentor technical leaders.

What they ask for

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure.
  • 5 years of experience in an ML field or specified areas, and 5 years of experience with design and architecture and testing/launching software products.

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • Experience with AI model security, adversarial machine learning, data privacy, or enterprise-grade security products.

Pay

USD 262000 - 364000 base salary

Tools

Java, Machine Learning (ML), ML infrastructure, model deployment, model evaluation, data processing, debugging, fine tuning

AI focus

Secures LLMs and enterprise data against prompt injection, jailbreaking, and data exfiltration; evaluates ML security research and develops scalable defenses.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)