Senior Performance Software Engineer for Deep Learning Libraries
3 weeks ago
We are seeking a Senior Performance Software Engineer to join our Deep Learning Library team at NVIDIA.
This role involves developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs. The team delivers high-performance code to NVIDIA's cuDNN, cuBLAS, and TensorRT libraries to accelerate deep learning models.
Key Responsibilities:
- Writing highly tuned compute kernels in C++ CUDA to perform core deep learning operations
- Collaborating with teams across NVIDIA on generating optimal assembly code, deep learning training and inference performance, and hardware and architecture features
Requirements:
- Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field
- 6+ years of relevant industry experience
- Demonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test design
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
We offer a competitive salary range of $180,000 - $339,250 USD, based on location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits.
NVIDIA accepts applications on an ongoing basis.
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Santa Clara, California, United States NVIDIA Full timeSenior Performance Software Engineer for Deep Learning LibrariesWe are seeking a highly skilled Senior Performance Software Engineer to join our team in developing optimized code for NVIDIA GPUs. As a key member of our Deep Learning Library team, you will be responsible for writing highly tuned compute kernels in C++ CUDA to perform core deep learning...
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