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AI Job Summary

You'll define and drive multi-year security strategy for GCP's distributed compute infrastructure, architecting defenses against emerging threats including autonomous agents and LLM-assisted exploits. The role requires establishing vulnerability discovery automation, incident response capabilities, and hardware-level protections across hypervisors, kernels, and low-level runtimes while leading cross-organizational technical leadership. You need 15 years of software development experience (or 13 with an advanced degree) with deep expertise architecting and securing virtualization and operating systems stack components like KVM, Linux kernel internals, and VMMs.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Serve as the overall technical authority and executive owner for GCE Platform Security, defining and driving the multi-year security strategy across distributed global control planes and low-level node data planes. 
  • Formulate architectural and operational defenses to counter the rapid emergence of autonomous agentic threat vectors and LLM-assisted exploitation tools, establishing automated vulnerability discovery, proactive mitigation frameworks, and rapid incident response capabilities across the fleet.
  • Architect robust, hardware-level defenses and isolation boundaries to eliminate and mitigate hardware CPU vulnerabilities, speculative execution side-channels, transient execution threats, and cross-tenant leakage
  • Lead security defenses and privilege reduction across hypervisor technologies, virtual machine monitors (VMMs), host kernels, and low-level runtimes, implementing sandboxing and defense against virtualization escapes.
  • Drive the architectural outlook for host security and isolation, advancing host deprivileging, zero-trust host architectures, hardware-assisted offloading of security and lifecycle functions.

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
  • 15 years of professional software development experience, or 13 years with an advanced degree.
  • Experience architecting, developing, and securing low-level systems software across the virtualization and operating systems stack (e.g., hypervisors such as KVM/Cloud Hypervisor/QEMU, Linux kernel internals, VMMs, firmware, or hardware-assisted virtualization).

Preferred qualifications:

  • Advanced degree (Master’s or PhD) in Computer Science, Computer Engineering, Cybersecurity, or a related technical field.
  • 20 years of software engineering experience, with experience with industry leadership in cloud platform security, hypervisor security, hardware/CPU security, or operating system defense.
  • Experience anticipating and defending against emerging adversarial capabilities, including AI/LLM-accelerated vulnerability discovery, automated exploit synthesis, and autonomous agentic threat vectors.
  • Experience in cross-organizational technical leadership, executive communication, and building consensus across large, multi-disciplinary engineering organizations (Hardware/Silicon).
  • Expertise in hardware-software security co-design, including CPU microarchitectural vulnerability mitigation (speculative execution, side-channel analysis), hardware root-of-trust, vTPM, and Confidential Computing.
  • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
  • 15 years of professional software development experience, or 13 years with an advanced degree.
  • Experience architecting, developing, and securing low-level systems software across the virtualization and operating systems stack (e.g., hypervisors such as KVM/Cloud Hypervisor/QEMU, Linux kernel internals, VMMs, firmware, or hardware-assisted virtualization).
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  • Role Principal Engineer, Google Compute Platform Security
  • Experience 8-9 years
  • Education Any
  • 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

209K – 292K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 22 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
Any
Experience
8-9 years

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