Snowflake
Data AI · Cloud data warehouse
- HQ
- Bozeman, US
- Founded
- 2012
- Size
- 7,000+
- Funding
- Public (SNOW)
- Website
- snowflake.com
- Blog
- snowflake.com
Products
Data AI · Cloud data warehouse
Currently tracking 55 active AI roles, up 75% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
| Title | Stage | AI score |
|---|---|---|
| AI System Research and Development Engineer - Optimization Snowflake is seeking an AI System Research and Development Engineer focused on optimizing LLM inference and training systems, as well as developing agentic systems. The role involves analyzing and optimizing GPU kernel performance, enhancing deep learning system efficiency and scalability, and contributing to agentic frameworks. The team has recently released innovations in inference optimization and large MoE foundation models, and collaborates with experts from DeepSpeed, vLLM, and TensorFlow. | ServeAgent | 9 |
| Senior Product Manager - Cortex Platform Product Manager to lead the strategy and execution for Snowflake's Cortex LLM Platform, focusing on foundational infrastructure for LLM serving at scale, AI model performance, inference elasticity, and cost-efficiency for enterprise AI applications. | Serve |
| 8 |
| Software Engineer Intern (AI/ML) - 2026 Software Engineering Intern role at Snowflake, contributing to an AI-focused R&D team building AI-powered products like Snowflake Intelligence. The role involves designing, implementing, and maintaining AI systems, ML pipelines, and optimizing model serving and inference infrastructure. | ServePost-train | 7 |
| Senior/Staff Software Engineer - Machine Learning Platform (Inference) Senior/Staff Software Engineer on the ML Platform team at Snowflake, focusing on building the next-generation platform for enterprise AI and LLM workloads. The role involves defining roadmaps, designing and executing on ML serving infrastructure, and ensuring operational excellence for customer-facing ML services, with a strong emphasis on LLM inference and serving fine-tuned models. | Serve | 7 |