- Experience with GPU capacity planning, quota management, or AI/ML infrastructure programs.
- Familiarity with major cloud providers (AWS, Azure, GCP) and how they supply and price compute.
- Exposure to ML model serving, training, or inference workloads and what drives their resource needs.
- Hands-on use of AI tools and agents, such as Snowflake Cortex AI, to automate planning, reporting, or coordination.
- Experience designing incentive or governance models that improve resource efficiency across teams.
WHY JOIN OUR ENGINEERING TEAM AT SNOWFLAKE?
You will help shape how one of the world's leading data and AI platforms scales its AI compute. The programs you run will directly affect how quickly Snowflake ships AI capabilities to customers. You will work closely with experienced engineering and infrastructure partners, and you will have real room to grow your scope and impact as the AI compute footprint expands.
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
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