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NVIDIA AI in Santa Clara seeks an Architect/Developer to design and implement CUDA Driver features that accelerate diverse workloads, focusing on CUDA Graphs and MPS. You will collaborate with cross-functional teams to extend CUDA programming models and ship driver-level capabilities.
The ideal candidate has strong C/C++, deep OS and multithreading expertise, and the ability to work across kernel and user-space boundaries to influence next-generation GPU acceleration.
Architect and implement new features for the CUDA Driver to enhance GPU acceleration for diverse computational workloads. Collaborate across teams to extend CUDA programming models, specifically focusing on CUDA Graphs and Multi-Process Service (MPS).
Requirements: Requires a BS or MS in Computer Science or Electrical Engineering with 8-10 years of development experience. Must possess strong C/C++ skills and a deep understanding of operating system interfaces and multithreaded programming.
Key Skills: C, C++, CUDA, Device Drivers, Multithreading, Operating Systems, Parallel Computing, System Architecture, Linux Systems Software, Kernel Mode Development, Virtual Memory, Process Control
Benefits: Equity, Benefits