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NVIDIA is looking for a self-motivated and specialist software engineer for the design and development of Python APIs for math libraries.
What you will be doing:
crafting and developing Python APIs for math libraries (e.g., linear algebra),
prototype integrations of developed APIs into targeted frameworks,
performance tuning, optimization, and benchmarking of numerical software on various CPU and GPU architectures,
providing technical leadership and mentorship to library engineers working with you on projects,
working closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries,
finding opportunities to improve software performance and user experience.
see:
PhD or MSc degree in Computer Science, Applied Math, or related science or engineering field is preferred or equivalent experience. Comparable relevant work experience will also be considered.
Excellent Python and C++ programming and software design skills, including functional and performance tests design.
Experience developing Python APIs and Pythonic style
Experience using one or more of Numpy, CuPy, SciPy, JAX, PyTorch, TensorFlow.
6+ years experience developing, debugging, and optimizing high-performance applications on parallel computing platforms.
Strong understanding of fundamental numerical methods and computations in science, engineering, or deep learning.
Proven experience in leading and driving software development projects in an agile environment.
Strong collaboration, communication, and documentation habits.
Ways to stand out from the crowd:
Parallel programming experience with GPUs (CUDA or OpenCL), multi-threading, or MPI.
Good knowledge of CPU and/or GPU hardware architecture.
You will also be eligible for equity and .
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