AI System Research and Development Engineer - Optimization at Snowflake - ScoutJobs - The AI-curated global job board
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Posted 9 hours ago

AI System Research and Development Engineer - Optimization

SnowflakeAI System Research and Development Engineer - Optimization

Requirements

Bachelor's degree in CS or EE, 5 years GPU kernel optimization experience, Proficiency in PyTorch, TensorFlow, or JAX, Experience with CUDA, CUTLASS, or Triton, Experience with profiling tools like Nsight

Skills

CUDAPyTorch

About the role

Responsibilities

  • 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
  • Stay updated with the latest advancements in GPU kernel optimization and LLM system development
  • Contribute to the development of agentic frameworks and applications for LLM-driven workflows
  • Open-source and publish innovations in technical blogs and top-tier conferences

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
  • 5 years of experience in GPU kernel optimization, deep learning system optimization, or HPC
  • Proficiency in PyTorch, TensorFlow, or JAX
  • Strong understanding of GPU architectures and experience with CUDA
  • Experience with frameworks like CUTLASS, Triton, or cuDNN
  • Experience with profiling tools such as nvprof or Nsight
  • Solid problem-solving and debugging skills for complex performance issues

About the Company

Snowflake is powering the era of the agentic enterprise, building efficient and scalable generative AI systems through cutting-edge research and development.

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AI System Research and Development Engineer - Optimization

Snowflake · Bellevue

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