
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $20M Seed on 2024-06
Artificial Intelligence • SaaS • B2B
Runpod is a cloud platform that provides on-demand GPU compute and managed infrastructure tailored for AI development and deployment. It offers GPU "Pods" across 31 global regions, serverless GPU endpoints for low-latency inference, multi-node GPU clusters for distributed training, and a hub for deploying open-source models and templates. Runpod emphasizes fast startup (sub-200ms cold starts), autoscaling from zero to thousands of workers, support for 30+ GPU SKUs, and tooling for the full AI lifecycle from experiment to production, targeting developers and enterprise AI teams.
🕒 July 28
🇺🇸 United States – Remote
💵 $152k - $175k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⚙️ Systems Engineer
👻 Ghost score 46%
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51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $20M Seed on 2024-06
Artificial Intelligence • SaaS • B2B
Runpod is a cloud platform that provides on-demand GPU compute and managed infrastructure tailored for AI development and deployment. It offers GPU "Pods" across 31 global regions, serverless GPU endpoints for low-latency inference, multi-node GPU clusters for distributed training, and a hub for deploying open-source models and templates. Runpod emphasizes fast startup (sub-200ms cold starts), autoscaling from zero to thousands of workers, support for 30+ GPU SKUs, and tooling for the full AI lifecycle from experiment to production, targeting developers and enterprise AI teams.
• Design and implement workload and network isolation architectures for multitenant GPU bare-metal and virtualized environments • Harden Linux kernel configurations, container runtimes such as Docker and containerd, and orchestration layers such as Kubernetes • Conduct security assessments and penetration testing targeting hypervisors, network stacks, and hardware interfaces • Write code primarily in C, Go, or Rust to implement custom security controls, telemetry, and OS- and infrastructure-level fixes • Evaluate and mitigate security considerations involving GPU architecture, PCIe pass-through, and shared memory spaces • Serve as the technical escalation point for infrastructure-level security incidents • Develop forensic capabilities for ephemeral container environments • Actively hunt for container and virtualization boundary escapes and implement low-level patches
• 5+ years of experience in infrastructure or systems-level security engineering • Extensive knowledge of Linux kernel internals, including cgroups, namespaces, eBPF, SELinux/AppArmor • Deep understanding of KVM and QEMU virtualization technologies • Knowledge of workload and 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 securing bare-metal cloud infrastructure and mitigating lower-level CVEs • Contributions to open-source systems security projects or virtualization research preferred • Experience writing or deploying eBPF-based security tooling preferred • Deep knowledge of low-level networking protocols and virtualized network security preferred • Eligible to work in the United States • Must not require employment visa sponsorship
• Meaningful equity; everyone on the team receives stock options • Generous medical, dental & vision plans • Flexible PTO • Remote-first work arrangement • $1,200 Home Office & Equipment Stipend • Inclusive, collaborative teams utilizing Slack for internal communication • Opportunities for learning and ownership on the cutting edge of AI infrastructure
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