Software Developer for AI Acceleration
3 days ago
We're seeking a talented Software Engineer to join our team and contribute to the development of cuDNN, our GPU-accelerated library of primitives for deep neural networks. As a key member of our team, you'll have the opportunity to work on cutting-edge AI technologies and collaborate with cross-functional teams to drive innovation.
What You'll Be Doing:- Design and develop production-quality software that integrates with NVIDIA's AI software stack, including optimized large language model (LLM) support.
- Analyze performance metrics and propose improvements to our software, ensuring optimal performance and efficiency.
- Collaborate with deep learning software engineers and GPU architects to drive innovation across applications like generative AI, autonomous driving, computer vision, and recommender systems.
- Stay up-to-date with the latest AI trends and technologies, and contribute to the development of new features and capabilities.
- Mentor junior engineers and contribute to the growth and development of our team.
- M.S. degree in computer science (or similar) or equivalent experience.
- Strong programming skills in C/C++ development, with experience working with CUDA and Python.
- Good understanding of linear algebra and familiarity with the latest trends in machine learning.
- Experience designing high-level software architecture and optimizing performance.
- Ability to work independently and lead your own development effort.
- GPU programming and optimization expertise (e.g. CUDA or OpenCL).
- Practical experience with machine learning, especially deep learning.
- Experience with computer architecture and building performance models for CPUs, GPUs, or other accelerators.
- Excellent problem-solving skills, including applications of algorithms and data structures.
- Strong experience with data science, statistical analysis, and visualization.
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