Engineering · Infrastructure
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.
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.
Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.
You will be part of the Infrastructure organization, specifically within the team managing Runpod's multi-region storage ecosystem. Including network volumes, local NVMe, and S3-compatible object storage. At Runpod, storage is a critical, high-impact resource; it determines cold start velocity, training job data streaming efficiency, and the reliable persistence of model weights and checkpoints.
This senior, hands-on group operates in tight coordination with SRE, networking, and supply chain teams, as well as our global hardware partners. We eliminate the divide between architectural design and operational execution. The engineers who define our systems also write the code, optimize the fabric, manage on-call rotations, and lead capacity planning. We are a remote-first and Slack-n