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Job Description

  • 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).

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.
  • 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++).
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  • Role Senior Security Engineer, Serving Layer and Platform Security, DeepMind
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

206K – 268K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 15 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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