Senior/Staff System Research Engineer – LLM Inference Optimization
Snowflake · Engineering
- Location
- Bellevue, Washington, United States · Menlo Park, California, United States · Remote
- Metro
- Seattle, San Francisco Bay Area
- Workplace
- Hybrid
- Level
- Staff+
- Type
- Full-time
- Pay
- $236K–$330K/yr (published by employer)
- Posted
- 1 month ago
- Source
- Ashby
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What the posting covers
About the company
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate…
About the company
Beyond optimizing individual models, we are building intelligent and adaptive inference systems that can automate performance optimization—rapidly profiling new models and workloads, identifying bottlenecks, selecting effective execution strategies, and…
Responsibilities
Design and develop high-performance LLM inference systems, spanning distributed serving, runtime systems, GPU execution, and performance-critical kernels. Develop novel techniques to improve inference latency, generation speed, throughput, memory efficiency,…
Responsibilities
Profile and benchmark end-to-end workloads to identify bottlenecks across compute, memory, communication, networking, scheduling, and model execution. Collaborate closely with model researchers, infrastructure teams, and product teams to deploy research…
Requirements
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. A Master’s degree or PhD is preferred. 5+ years of experience in one or more of the following areas: LLM inference systems, distributed AI systems, GPU systems, or…
Requirements
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.…
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