NVIDIA AI
US - California - Santa Clara
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The role involves designing and implementing JAX core components to optimize performance on NVIDIA products. The engineer will collaborate with AI researchers to build future-proof models and tools that bridge the gap between numerical computing research and real-world applications.
Requirements: Candidates need a degree in Computer Science or Engineering and over 6 years of experience in C++ and Python programming. Proficiency in machine learning framework internals and a strong foundation in CPU/GPU architectures are required.
Key Skills: JAX, C++, Python, Deep Learning Frameworks, System Design, GPU Architecture, CPU Architecture, Distributed Systems, Numerical Computing, Autograd, DSL Compilers, CI/CD, PyTorch, TensorFlow, Scikit-learn, Modular Software Design
Benefits: Equity
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