
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.
🔥 15 hours ago
🇺🇸 United States – Remote
💵 €105.3k - €140.4k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷 Infrastructure Engineer
👻 Ghost score 7%
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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.
• Validate new hardware and ensure partner deployments meet Runpod specifications for distributed AI/ML workloads • Monitor fleet health and identify performance degradation • Audit downtime and provide technical data needed to protect customer SLAs • Use LLMs and AI agents to automate network triage and generate dynamic fleet runbooks • Coordinate technical incident communications and translate outages into actionable resolutions • Support the growth of infrastructure partners • Own the technical lifecycle and operational health of Runpod’s high-density GPU fleet • Serve as infrastructure advisor, technical translator, adopter, and incident commander for hardware partners • Bridge hardware partners and internal engineering teams
• 3–5 years of experience in infrastructure operations, systems reliability, or datacenter engineering • Strong proficiency in standard datacenter networking and performance troubleshooting • Exposure to RDMA, InfiniBand, or RoCE highly preferred • Hands-on experience with the NVIDIA Software Stack, including driver installation and performance utilities • Understanding of multi-node performance tuning • Solid Linux system administration skills • Experience with containerization using Docker • System-level troubleshooting and performance tuning at kernel and hardware interface layers • Clear written and verbal communication skills • Ability to explain hardware or networking issues to technical partners and internal leadership • Willingness to participate in a future on-call rotation • Experience in a fast-paced startup environment preferred • Experience managing or optimizing bare-metal HPC environments at massive scale preferred • Experience with Grafana, Prometheus, or Datadog preferred • Proficiency in Python, Go (Golang), or Bash preferred • Must be eligible to work in the United States; Runpod is currently unable to sponsor employment visas
• Meaningful equity; everyone on the team receives stock options • Generous medical, dental & vision plans; 100% coverage for employees and partial coverage for dependents • Flexible PTO • Remote-first work with inclusive, collaborative teams • $1,200 Home Office & Equipment Stipend • Culture, learning, and ownership opportunities
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