About this opportunity
NVIDIA AI lists this Senior Software Engineer CUDA UMD - GPU Kernel Scheduling opportunity in santa clara, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Architect and implement new features for the CUDA Driver to optimize GPU kernel scheduling and AI/ML workloads. Collaborate across teams to extend CUDA programming models and improve the overall compute platform.
Requirements
Requires a degree in Computer Science or Electrical Engineering with at least 4 years of experience in C/C++ and system-level software development. Candidates should have a strong understanding of OS interfaces, memory management, and multithreaded programming.
Key Skills
C, C++, CUDA, Device Drivers, Multithreading, Operating Systems, System Architecture, Kernel Mode Development, Parallel Computing, Linux Systems Software, Virtual Memory, Memory Hierarchy
Benefits
Equity
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Worksite address
santa clara, CA, 95053, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.