Cloud Infrastructure Security Engineer (Systems/Kernel)

Runpod is the AI Developer Cloud, empowering over one million developers to experiment, train, and scale AI. They are seeking a Cloud Infrastructure Security Engineer to safeguard their GPU cloud infrastructure through systems-level security engineering and robust isolation architectures.

Responsibilities:

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

Requirements:

• 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
• 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