Hiring: Senior Security Engineer, Serving Layer and Platform Security, DeepMind Company: Google DeepMind Location: Mountain View, CA Job Posted Time: 2026-09-17 10:51:07 Target Skills & Keywords : AI, C, C++, Embedded Systems, Linux About the job 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++). Required Skills: •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). Qualifications: •Bachelor's degree in Computer Science, Cybersecurity, Electrical/Computer Engineering, or equivalent practical experience. •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. •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 Compensation: •US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!