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Senior Software Engineer CUDA UMD - GPU Kernel Scheduling
Job in
Santa Clara, Santa Clara County, California, 95053, USA
Listed on 2026-09-05
Listing for:
NVIDIA AI
Full Time
position Listed on 2026-09-05
Job specializations:
-
Software Development
C++ Developer, Software Engineer, Embedded Software Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
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.
RequirementsRequires 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 SkillsC, C++, CUDA, Device Drivers, Multithreading, Operating Systems, System Architecture, Kernel Mode Development, Parallel Computing, Linux Systems Software, Virtual Memory, Memory Hierarchy
Benefits- Equity
Position Requirements
10+ Years
work experience
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