About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree in Computer Science, Cybersecurity, Electrical/Computer

Engineering, or equivalent practical experience.

* 5 years of experience in security engineering, platform security,

infrastructure hardening, network protocols, or systems security

architecture.

* 5 years of experience in security operations (e.g., operational security

monitoring, incident response, vulnerability triage, rotational on-call duty,

or threat hunting).

* 5 years of coding experience in one or more systems programming languages

(e.g., C, C++).

PREFERRED QUALIFICATIONS:

* Experience securing large-scale distributed serving infrastructure, core API

development, multi-tenant data architectures, etc.

* Demonstrated experience conducting variant analysis, developing security

mitigations, and responding to high-severity infrastructure incidents in a

production environment.

* Expertise in workload isolation, Linux kernel security, TPU/GPU architecture

security, or hardware-backed root-of-trust models.

* Technical understanding of frontier AI security challenges, including prompt

injection containment, secure agentic tool execution, and inference memory

safety.

ABOUT THE JOB:

There's no such thing as a "safe system"—only safer systems. The GDM Product

Security Team serves as the single point of accountability for GDM's product

security posture by providing embedded, specialized security expertise across

infrastructure and product development lifecycles, from early design through

production operations. The team ensures GDM’s products and systems remain a

secure and reliable frontier AI platform by bridging product development with

Google's horizontal security functions and the GDM Security and Privacy

organization.

In this role, you will

focus on securing GDM’s core serving infrastructure and
underlying platform layer (including Beyond, Agency, AI Studio / GeminiAPI, and
TPU inference systems). You will proactively evaluate and harden serving
components, enforce multi-tenancy data protection, design OS/hardware workload
isolation, and build secure-by-default paved paths for model serving. Because
operational security is core to maintaining our frontier AI platform, this
position requires a direct background in security operations, including
vulnerability triage, threat modeling, incident escalation, and rotational
on-call support.
Artificial intelligence will be one of humanity’s most transformative
inventions. At Google DeepMind, we are a pioneering AI lab with exceptional
interdisciplinary teams focused on advancing AI development to solve complex
global challenges and accelerate high-quality product innovation for billions of
users. We use our technologies for widespread public benefit and scientific
discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer
diverse learning opportunities and varied career pathways for those driven to
achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Evaluate and harden GDM’s core serving infrastructure (Beyond, Agency, AI
Studio APIs) and inference pipelines.
* Develop and maintain threat models covering GDM serving layers and inference
workloads. Model attack vectors unique to frontier AI, including prompt
injection mitigation, tool-calling hardening, multi-tenant data boundary
protection, and API surface security.
* Build secure-by-default libraries, reference architectures, and deployment
templates that embed infrastructure security into GDM’s deployment pipelines
and serving stacks.
* Participate in the team's operational security rotation (on-call).

Which skills does this role require?

Security EngineeringPlatform SecurityInfrastructure HardeningNetwork ProtocolsSystems Security ArchitectureSecurity OperationsIncident ResponseVulnerability TriageThreat HuntingCC++Threat ModelingAPI SecurityPrompt Injection MitigationSystems SecurityDistributed SystemsAPI DevelopmentPrompt InjectionInference Memory SafetySecure-by-defaultDeployment Pipelines

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