Runpod, Inc.
Runpod is seeking a senior, hands‑on engineer to design, scale, and ensure the reliability of its multi‑region storage platform, including network volumes, local NVMe, and S3‑compatible object storage. The role involves writing production code, automating operations, leading capacity expansions, and participating in on‑call rotations to support AI/ML workloads for over a million developers.
Headquarters
San Francisco, California, United States
Company Size
11-50 employees
Founded
2022
Runpod is a GPU cloud platform that enables developers, researchers, and AI companies to deploy and scale GPU workloads — from serverless inference to instant multi-node clusters — on demand. It offers products like Pods, Serverless Endpoints, Public Endpoints, and Instant Clusters to build, train, and deploy models with low friction. Runpod emphasizes simplicity and cost-efficiency with fast provisioning and usage-based pricing billed by the millisecond so teams pay only for what they use. Developer-focused tooling and workflows make it well suited for startups, research labs, and teams putting AI into production.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Runpod, Inc. .
Jul 16, 2024