Level

RunPod

Cloud Infrastructure Security Engineer (Systems/Kernel)

AI in this role

Design security architectures, harden Linux kernels, and protect multitenant GPU environments powering AI workloads.

linuxdockerkubernetesrustgoc
kernel-securitycontainer-securitythreat-modelingvirtualizationhardware-security

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. We're looking for people who care deeply, build with urgency, and want to matter at scale.

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.

How we rate this

Cloud Infrastructure Security Engineer (Systems/Kernel) at RunPod rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Kernel SecurityContainer SecurityThreat ModelingVirtualizationHardware SecurityLinuxDockerKubernetes

Questions you could be asked

  1. Tell me about a project where kernel security was part of your work. What did you do?
  2. Tell me about a project where container security was part of your work. What did you do?
  3. Tell me about a project where threat modeling was part of your work. What did you do?
  4. Tell me about a project where virtualization was part of your work. What did you do?
  5. Tell me about a project where hardware security was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Kernel Security, Container Security, Threat Modeling, Virtualization, and Hardware Security. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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