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Snowflake

AI System Research and Development Engineer – Optimization

Snowflake

AI System Research and Development Engineer optimizing GPU performance for LLM tasks at Snowflake. Join a team innovating in AI and deep learning systems.

Posted 4/30/2026full-timeBellevue • California, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies
PyTorchTensorflow

About the role

Key responsibilities & impact
  • Analyze and optimize GPU kernel performance for training and inference of LLMs.
  • Develop and implement strategies to enhance the efficiency and scalability of deep learning systems.
  • Profile and benchmark deep learning systems using tools and techniques to identify bottlenecks.
  • Design and implement optimizations to reduce latency and improve resource utilization for training and inference.
  • Stay updated with the latest advancements in GPU kernel optimization, deep learning, and LLM system development.
  • Contribute to the development of agentic frameworks and applications for LLM-driven workflows, enhancing automation, reasoning, and decision-making capabilities.
  • Open-source and publish innovations, optimizations, and engineering practices in technical blogs, top-tier conferences and journals.

Requirements

What you’ll need
  • 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 GPU kernel optimization, deep learning system optimization, or high-performance computing (HPC).
  • Proficiency in deep learning frameworks such as PyTorch, TensorFlow, JAX.
  • Strong understanding of GPU architectures and experience with CUDA or similar frameworks.
  • Experience with frameworks like CUTLASS, Triton, cuDNN, etc.
  • Experience with profiling tools (e.g., nvprof, Nsight) and performance analysis methodologies.
  • Solid problem-solving skills and ability to debug complex performance issues.
  • Excellent communication skills and ability to work effectively in a cross-functional team environment.

Benefits

Comp & perks
  • Employees must abide by the company’s data security plan
  • Confidentiality and security standards for handling sensitive data

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
GPU kernel optimizationdeep learning system optimizationhigh-performance computingPyTorchTensorFlowJAXCUDACUTLASSTritoncuDNN
Soft Skills
problem-solvingcommunicationteamwork
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Electrical EngineeringMaster’s degreePhD