- Direct experience with a container platform, Kubernetes-based service, or serverless compute product that customers run production workloads on.
- Experience qualifying or launching GPU or accelerated compute instances, or working a hardware/CSP roadmap (Nvidia, AWS, Azure, GCP).
- Experience supporting data, AI, or developer workloads on a shared platform (orchestration, notebooks, apps, agents).
- Familiarity with unit economics for compute or storage: instance pricing, $/GiB, or cost-to-serve for a multi-tenant platform.
WHY JOIN OUR EXTENSIBLE COMPUTE TEAM AT SNOWFLAKE?
SPCS is the compute layer under a large and growing set of Snowflake workloads. A good call on an instance type, a filesystem, or a launch gate shows up in more than one product. You will work directly with the engineers who build it, the product partners who depend on it, and the customers bringing container workloads onto Snowflake.
Customers want to run their own services, pipelines, and models inside Snowflake's governance boundary, and Snowflake's own products need the same platform to get faster, cheaper, and more capable. You will have a concrete surface to own, a roadmap you can ship against, and visibility into how this platform is used across the company.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com