Senior Performance Software Engineer, Deep Learning Libraries

Senior Performance Software Engineer, Deep Learning Libraries page is loaded## Senior Performance Software Engineer, Deep Learning Librarieslocations: US, CA, Santa Clara: US, TX, Austin: US, OR, Hillsboro: US, NC, Durham: US, WA, Redmondtime type: Full timeposted on: Posted Todayjob requisition id: JR2006435, , and libraries to accelerate deep learning models. The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing. Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence! Were always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our showcasing performant matrix multiply on NVIDIAs with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.**What you'll be doing:*** Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)* Following general software engineering best practices including support for regression testing and CI/CD flows* Collaborating with teams across NVIDIA: + CUDA compiler team on generating optimal assembly code + Deep learning training and inference performance teams on which layers require optimization + Hardware and architecture teams on the programming model for new deep learning hardware features**What we need to see:*** 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* Experience with performance-oriented parallel programming, even if its not on GPUs (e.g. with OpenMP or pthreads)* Solid understanding of computer architecture and some experience with assembly programming**Ways to stand out from the crowd:*** Tuning BLAS or deep learning library kernel code* CUDA/OpenCL GPU programming* Numerical methods and linear algebra* LLVM, TVM tensor expressions, or TensorFlow MLIRNVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and .Applications for this job will be accepted at least until October 24, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning #J-18808-Ljbffr