Senior AI Optimization Specialist

3 days ago


San Francisco, California, United States Genmo Full time
Job Description:

We are seeking a skilled Senior AI Optimization Specialist to join our team at Genmo. As a key member of our research lab, you will play a crucial role in optimizing the performance of our large generative AI models. With your expertise in deep learning performance bottlenecks, kernel optimization, and distributed training strategies, you will ensure that our models run efficiently on clusters.

Key Responsibilities:
  • Analyze and optimize the performance of massively parallel and distributed systems
  • Implement and fine-tune distributed training strategies for multi-GPU and multi-node environments
  • Implement high-performance CUDA, Triton, C++ and PyTorch code.
  • Profile model performance and identify bottlenecks using tools like NVIDIA NSight Systems, PyTorch Profiler, and TensorFlow Profiler
  • Develop and maintain benchmarking suites for continuous performance monitoring

Qualifications:
  • Master's or PhD in Computer Science, Electrical Engineering, or a related field
  • 5+ years of experience in optimizing deep learning models, preferably in a production environment
  • Strong programming skills in Python and C++. Experience in training large models using Python & PyTorch and/or TensorFlow including their distributed training frameworks.
  • Proven track record of optimizing large-scale models (10B+ parameters)
  • Deep understanding of GPU architecture and CUDA programming
  • Experience in entire development pipeline from data processing, preparation & data loading to training and inference.
  • Demonstrated expertise in high-performance computing using NVIDIA Triton and CUDA
  • Demonstrated ability to significantly improve model inference and training speeds through low-level optimizations


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