Senior Deep Learning Software Engineer
4 weeks ago
We are seeking a highly skilled Senior Deep Learning Software Engineer to join our team at NVIDIA. As a key member of our model optimization group, you will play a pivotal role in designing and building our automated inference and deployment solution.
Key Responsibilities:- Architect and design a modular and scalable software platform to provide an excellent user experience with broad model support and optimization techniques.
- Leverage and build upon the torch 2.0 ecosystem to analyze and extract standardized model graph representation from arbitrary torch models for our automated deployment solution.
- Develop high-performance optimization techniques for inference, such as automated model sharding techniques, efficient attention kernels with kv-caching, and more.
- Collaborate with teams across NVIDIA to use performant kernel implementations within the automated deployment solution.
- Analyze and profile GPU kernel-level performance to identify hardware and software optimization opportunities.
- Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field.
- 5+ years of relevant work or research experience in Deep Learning.
- Excellent software design skills, including debugging, performance analysis, and test design.
- Strong proficiency in Python, PyTorch, and related ML tools.
- Strong algorithms and programming fundamentals.
- Good written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment.
- Contributions to PyTorch, JAX, or other Machine Learning Frameworks.
- Knowledge of GPU architecture and compilation stack, and capability of understanding and debugging end-to-end performance.
- Familiarity with NVIDIA's deep learning SDKs such as TensorRT.
- Prior experience in writing high-performance GPU kernels for machine learning workloads in frameworks such as CUDA, CUTLASS, or Triton.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. If you are a creative, motivated, and love a challenge, we want to hear from you.
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