Key skills
AIDeep LearningGenerative AILLMAgenticPyTorchTensorFlowJAXSnowflakeCommunication
About this role
Snowflake is a company focused on redefining the future of work through AI innovation. They are seeking AI System Research and Development Engineers to optimize and develop scalable generative AI systems, particularly in the realm of LLM inference and training. The role involves analyzing GPU kernel performance, enhancing deep learning system efficiency, and contributing to the development of agentic frameworks.
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 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:
- 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 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
- A Master's degree or PhD is preferred