Principal Engineer, Secure Infrastructure & AI Guardrails

Google; Sunnyvale (CA); On-site; USD 307,000 - 427,000; Full time

Job summary

Google is seeking a highly independent Principal Engineer in Sunnyvale to architect resilient distributed platforms that bridge physical and logical security. You will guide strategies ensuring system integrity across Google's core infrastructure and enable hosting of critical assets, including AI models, in untrusted environments.

You will lead initiatives to secure multi-cloud workloads, guard AI infrastructures, and establish guardrails for AI agents while collaborating across Google's

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 15 years of experience as a software engineering leader.
• Experience with technical innovation within cross-functional engineering environments.
• Experience in data center security, networking security, hardware security, or operating system security.

Responsibilities

• Lead security architecture for untrusted environments at scale.
• Define isolation and verification frameworks for safely executing untrusted code.
• Design defensive architectures to address AI-related threats and cross-organizational security challenges.
• Address multi-cloud workload risks and secure AI training/inference infrastructure.
• Coordinate with multiple Google teams to align security roadmaps across product groups.

Skills

Security leadership

Cross-functional leadership

Technical innovation

Data center security

Education

Bachelor’s degree in Computer Science or related field

Master’s degree or PhD in Computer Science or related field

Job description

Google is seeking a highly independent Principal Engineer in Sunnyvale to architect resilient distributed platforms that bridge physical and logical security. You will guide strategies ensuring system integrity across Google's core infrastructure and enable hosting of critical assets, including AI models, in untrusted environments.

You will lead initiatives to secure multi-cloud workloads, guard AI infrastructures, and establish guardrails for AI agents while collaborating across Google's