---
title: 'Senior/Staff Security Engineer at Zettabyte'
canonical: 'https://feeny.ai/job/senior-staff-security-engineer-zettabyte-united-states-10xdgqndwwtn'
type: 'job'
last_seen: '2026-09-12'
---

# Senior/Staff Security Engineer at Zettabyte

- **Company:** Zettabyte
- **Location:** United States
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-01-21
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/zettabyte-space/a58656dc-c53c-4c4a-bebd-d2f77b6913d0

## Job description

Senior/Staff Security Engineer

## About Zettabyte

At Zettabyte, we’re building the infrastructure layer for the AI-first world. Our mission is to make AI compute ubiquitous, seamless, and limitless by operating a cloud where AI workloads run securely at massive scale—anywhere, anytime. We run a multi-tenant GPU cloud for AI developers and enterprises. Security isn’t a support function here—it’s a core platform capability.

## Why this role exists

Zettabyte is scaling a shared, high-performance AI compute platform in a space where traditional cloud security models break down. Multi-tenant GPUs, high-speed networking, and untrusted customer workloads introduce security challenges that don’t have off-the-shelf answers. We’re hiring a Staff Security Engineer to define and own the security architecture of our platform. You’ll operate with wide latitude, shaping how isolation, detection, and trust are built into the system from day one. This role is ideal for someone who thrives in early-to-mid stage environments, enjoys working through ambiguity, and wants to build security systems that scale with the business—not slow it down.

## What you’ll do

- Own the end-to-end security architecture for multi-tenant Kubernetes GPU clusters
- Design tenant isolation, egress control, and network segmentation across compute, storage, and networking layers
- Define and implement runtime security and intrusion detection for untrusted AI workloads
- Build security primitives (identity, secrets, encryption, policy enforcement) that platform teams build on
- Secure the software supply chain, from CI/CD pipelines to container admission
- Lead threat modeling and security design reviews for new platform features
- Drive compliance readiness (SOC 2, ISO 27001) without slowing engineering velocity
- Act as a force multiplier: unblock teams, set standards, and raise the security bar across the org
- Lead security incident response and turn incidents into systemic improvements

## What we’re looking for

- 7+ years of experience in security engineering for cloud-native, infrastructure, or distributed systems
- Deep, hands-on expertise in Kubernetes security (RBAC, PSA, network policies, admission controllers)
- Strong understanding of cloud security primitives in AWS, GCP, or Azure
- Experience building or operating runtime security and policy enforcement (Falco, Cilium, OPA, Calico, eBPF-based tools)
- Solid grounding in network security and zero-trust architectures
- Practical experience with secrets management and key systems (Vault, cloud KMS)
- Strong automation skills in Go, Python, or Bash
- Proven ability to operate autonomously, make architectural decisions, and deliver in ambiguous environments
- Experience partnering deeply with platform, infra, and SRE teams

Bonus experience (nice to have, not required)

- GPU isolation and virtualization security (MIG, SR-IOV)
- InfiniBand, RDMA, or high-performance networking
- HPC or large-scale multi-tenant compute platforms
- Security for AI/ML systems or data-intensive workloads
- Incident response leadership or red team experience
- Security certifications (CKS, OSCP, CISSP)
- Open-source contributions in security or cloud infrastructure

What makes this role different

- You’ll define the security model, not just implement tickets
- You’ll work on real isolation problems in GPU and high-speed networking environments
- You’ll influence architecture across the platform, not sit in a silo
- You’ll help build a security culture at a company where speed and safety both matter

## Compensation

- Competitive salary — commensurate with your experience and aligned with industry standards
- Meaningful equity — be part of the upside as we build a category-defining company. Your grant will align with your role and the experience you bring.

## About Zettabyte

## Company Overview
- **One-liner**: Zettabyte builds sovereign-grade AI data centers and full-stack GPU software for governments and enterprises, enabling them to own and control their AI infrastructure without vendor lock-in.
- **Entity Type**: Private (Venture-backed)
- **Headquarters**: Palo Alto, California, United States (also Taipei, Taiwan)
- **Founded**: 2024
- **Founders**: Not publicly disclosed

## Core Business
- **Primary Industry**: AI Infrastructure / Data Centers / GPU Cloud
- **Target Customers**: Sovereign nations (governments), large enterprises, and organizations requiring high-performance AI compute with full data sovereignty.
- **Mission**: Build future-proof, supply chain neutral AI data centers that maximize economic value from hardware investments; committed to aiding the United Nations Sustainable Development Goals (UNGM supplier).

## Products & Services
- **Sovereign AI Data Centers**: Full ownership model via Build-Operate-Train & Transfer, allowing nations to run AI on their own infrastructure, data, and networks.
- **Hybrid AI Data Centers**: Unified environments supporting both CPU-based enterprise workloads and high-performance GPU-driven AI workloads.
- **Enterprise AI Data Centers**: Dedicated compute, storage, and networking for secure AI workloads.
- **TITAN AI Data Center**: Next-generation AIDC initiative for scalable GPU-based computing worldwide.
- **Distributed Cell Tower Computing**: Edge computing applications placed closer to end users.
- **zPLATFORM™**: Software layer for full visibility, control, and operation of GPU infrastructure.
- **zCLOUD™**: On-demand access to high-performance GPUs (hourly scaling, no upfront commitment).
- **GPU Financing**: Specialized financing through banking partners for data center and GPU cluster buildouts.
- **Central Command Center**: Monitoring and management of AI infrastructure.
- **Sovereign-Grade Networking**: Networking designed for security and neutrality.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding – Raised multiple venture rounds (latest in 2026); total amount not specified. Investors include Headline Asia, Lam Capital, and strategic backing from Wistron, Foxconn, and Pegatron.
- **Notable Investors/Partners**: Headline Asia (formerly Infinity Ventures), Lam Capital, Wistron, Foxconn, Pegatron. United Nations Global Marketplace supplier.
- **Growth Signals**: 67,000+ GPUs currently under management; ~1.5 GW upcoming deployment scale; 5+ sovereigns working with Zettabyte; 23+ trusted partners; LinkedIn followers grew +4528.6% year-over-year.

## Competitive Advantages
- **Supply Chain Neutrality**: Unmatched procurement speed and avoidance of vendor lock-in for sovereign customers.
- **Manufacturing Backing**: Supported by Wistron, Foxconn, and Pegatron, which together build over 75% of the world’s AI GPU servers.
- **Integrated Software Stack**: Proprietary zPLATFORM and zCLOUD provide measurable, controllable, and scalable AI infrastructure operations.
- **Sovereign-Ready**: Full ownership and control over hardware and software, addressing national security and regulatory compliance.

## Strategic Focus
- Scaling AI data center deployments globally (1.5 GW pipeline).
- Deepening partnerships with sovereign governments to enable national AI independence.
- Expanding software capabilities (zPLATFORM, zCLOUD) to drive efficiency and lower TCO for large-scale AI workloads.
- Extending edge computing through distributed cell tower solutions.

## Why Work Here
- **Culture**: “Growth isn’t just a goal, it is built into how we work.” Emphasis on meaningful challenges and career shaping.
- **Work Model**: Hybrid roles in both Palo Alto, USA and Taipei, Taiwan.
- **Roles**: Engineering-heavy (GPU Systems, Cloud Native, Distributed Systems, Frontend, Backend, AI Infrastructure, Research Scientists) plus product and people operations.
- **Notable Perks**: Opportunity to work on cutting-edge AI infrastructure at scale, with direct impact on sovereign AI capabilities and global GPU deployments.

## Sources
1. [zettabyte.space – Homepage](https://www.zettabyte.space/)
2. [zettabyte.space – About page](https://www.zettabyte.space/about)
3. [zettabyte.space – Careers page](https://www.zettabyte.space/careers)
4. [jobs.ashbyhq.com – Zettabyte openings](https://jobs.ashbyhq.com/zettabyte-space)
5. [LinkedIn – Zettabyte Inc](https://www.linkedin.com/company/zettabyte-inc)

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