Cloud Infrastructure Security Engineer (Systems/Kernel)

Runpod; United States; Remote; USD 152,000 - 175,000; Full time

Benefits offered by this job

Equity/Stock options

Medical, dental & vision plans

Flexible PTO

Remote-first / async collaboration

Home office stipend

Job summary

Runpod, the AI Developer Cloud, seeks a systems-focused Cloud Infrastructure Security Engineer to safeguard our GPU cloud infrastructure—bare-metal and virtualized environments—ensuring strong multi-tenant isolation and platform integrity.

You will harden Linux kernel configurations, container runtimes, and orchestration layers; write low-level code (C/Go/Rust); and focus on diagnosing and preventing tenant breakouts while protecting GPU hardware interfaces.

Qualifications

• 5+ years of experience in infrastructure or systems-level security engineering.
• Extensive knowledge of Linux kernel internals (cgroups, namespaces, eBPF, SELinux/AppArmor).
• Deep understanding of virtualization technologies (KVM, QEMU) and multitenant isolation.
• Strong systems-level programming skills in C, Go, Rust, or Python.
• Familiarity with GPU architecture and hardware security considerations.

Responsibilities

• Systems Isolation: Design and implement robust workload and network isolation architectures for Runpod's multitenant GPU bare-metal and virtualized environments.
• Kernel & Container Security: Harden Linux kernel configurations, container runtimes (e.g., Docker, containerd), and orchestration layers (e.g., Kubernetes) against breakouts and privilege escalation.
• Infrastructure Threat Modeling: Conduct deep-dive security assessments and penetration testing specifically targeting our hypervisor, network stack, and hardware interfaces.
• Active Defense: Write code (primarily C, Go, or Rust) to implement custom security controls, telemetry, and fixes at the OS and infrastructure level.
• Hardware Security: Evaluate and mitigate security considerations specific to GPU architecture, PCIe pass-through, and shared memory spaces.
• Incident Response: Serve as the technical escalation point for infrastructure-level security incidents, developing forensic capabilities for ephemeral container environments.

Skills

Infrastructure security

Linux kernel internals

Virtualization technologies

C/Go/Rust/Python

GPU hardware security

Tools

Docker

containerd

Kubernetes

QEMU

Job description

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.

We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day.

As Runpod continues to revolutionize the GPU cloud computing landscape, we are seeking a systems-focused Cloud Infrastructure Security Engineer. This critical position is instrumental in safeguarding our bare-metal and virtualized environments, ensuring the absolute security, multi tenant isolation, and integrity of our underlying GPU cloud infrastructure.

The ideal candidate possesses deep knowledge of Linux systems, kernel internals, hypervisors, and containerization. You will focus on the lowest levels of our stack-preventing tenant breakouts, securing GPU hardware allocations, and building resilient infrastructure to support AI and machine learning workloads.

Runpod is seeking an innovative security engineer who thrives at the systems layer. You will operate with an Attacker's Mindset, actively hunting for ways to break container and virtualization boundaries, and then writing the low-level code to patch them.

Responsibilities

• Systems Isolation: Design and implement robust workload and network isolation architectures for RunPod's multitenant GPU bare-metal and virtualized environments.
• Kernel & Container Security: Harden Linux kernel configurations, container runtimes (e.g., Docker, containerd), and orchestration layers (e.g., Kubernetes) against breakouts and privilege escalation.
• Infrastructure Threat Modeling: Conduct deep-dive security assessments and penetration testing specifically targeting our hypervisor, network stack, and hardware interfaces.
• Active Defense: Write code (primarily C, Go, or Rust) to implement custom security controls, telemetry, and fixes at the OS and infrastructure level.
• Hardware Security: Evaluate and mitigate security considerations specific to GPU architecture, PCIe pass-through, and shared memory spaces.
• Incident Response: Serve as the technical escalation point for infrastructure-level security incidents, developing forensic capabilities for ephemeral container environments.

Required Qualifications

• 5+ years of experience in infrastructure or systems-level security engineering.
• Extensive knowledge of Linux kernel internals (cgroups, namespaces, eBPF, SELinux/AppArmor).
• Deep understanding of virtualization technologies (KVM, QEMU) and workload/network isolation techniques in multitenant environments.
• Strong systems-level programming skills in C, Go, Rust, or Python.
• Familiarity with GPU architecture and hardware-level security considerations.
• Experience in securing bare-metal cloud infrastructure and mitigating lower-level CVEs.

Preferred Qualifications

• Contributions to open-source systems security projects or virtualization research.
• Experience writing or deploying eBPF-based security tooling.
• Deep knowledge of low-level networking protocols and virtualized network security.

What You’ll Receive

• The competitive base pay for this position ranges from ($152,000 - $175,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location
• Meaningful equity in a fast-growing company- everyone on the team receives stock options - your impact drives our growth, and you share in the upside.
• Generous medical, dental & vision plans
• Flexible PTO- take the time you need to recharge
• Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
• Join a passionate team on the cutting edge of AI infrastructure - where culture, learning, and ownership are at the heart of how we scale.
• $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace

Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.