Senior Security Engineer – Frontier AI Platform Security

Google DeepMind

New York (NY)

On-site

USD 207,000 - 300,000

Full time

20 hours ago
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Job summary

Google DeepMind is seeking a product security engineer to reinforce the security of its core serving infrastructure and platform layers. You will develop threat models for multi-tenant inference workloads, implement secure-by-default patterns, and contribute to secure deployment templates across the GDM stack.

The role emphasizes hands-on security operations, vulnerability triage, and incident response in a frontier AI environment, collaborating with cross‑functional teams to maintain a safe,

Qualifications

  • Bachelor's degree or equivalent practical experience in CS, cybersecurity, or related field.
  • 5 years in security engineering, platform security, or infrastructure hardening.
  • 5 years in security operations (monitoring, incident response, vulnerability triage, on-call, threat hunting).
  • 5 years of coding experience in systems languages (e.g., C, C++).

Responsibilities

  • Evaluate and harden core serving infrastructure (Beyond, Agency, AI Studio APIs).
  • Develop threat models for serving layers and inference workloads; address prompt injection and multi-tenant data boundaries.
  • Build secure-by-default libraries, architectures, and deployment templates for pipelines and stacks.
  • Participate in the security rotation (on-call) and incident response practices.

Skills

Security engineering
Security operations
Systems programming
C/C++ coding

Education

Bachelor's degree in CS/EE or equivalent

Job description

Google DeepMind is seeking a product security engineer to reinforce the security of its core serving infrastructure and platform layers. You will develop threat models for multi-tenant inference workloads, implement secure-by-default patterns, and contribute to secure deployment templates across the GDM stack.

The role emphasizes hands-on security operations, vulnerability triage, and incident response in a frontier AI environment, collaborating with cross‑functional teams to maintain a safe,

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