Senior Security Engineer, Serving Layer and Platform Security, DeepMind

Google DeepMind; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind seeks a security-focused engineer to secure its core serving infrastructure and platform layers, including inference systems. You will design threat models, implement workload isolation and multi-tenant protections, and build secure-by-default deployment templates to integrate security into pipelines.

The role requires strong background in security operations and a hands-on approach to vulnerability triage, incident response, and proactive security hardening in a frontier AI

Qualifications

• Bachelor's degree in CS or equivalent practical experience.
• 5 years of security engineering experience.
• 5 years in security operations (monitoring, incident response, vulnerability triage, on-call).
• 5 years of coding experience in C/C++ or similar.

Responsibilities

• Harden core serving infrastructure and inference pipelines.
• Develop threat models for serving layers and workloads.
• Create secure-by-default libraries, architectures and deployment templates.
• Participate in on-call rotation for operational security.

Skills

C/C++

Security engineering

Incident response

OS security

Education

Bachelor's degree

Tools

Linux

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

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

Responsibilities

Learn more about benefits at Google.

• 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).

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.