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Senior Software Engineer CUDA UMD - GPU Kernel Scheduling

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$152k - $241.5kFull-timePosted 1mo ago

About the role

Senior software engineer to work on the CUDA Driver, contributing to features and improvements for CUDA APIs and programming model, with a focus on GPU kernel scheduling, graphs, and multi-OS development.

Responsibilities

  • Evangelize, architect, and implement new features
  • Coordinate and drive development efforts across multiple teams
  • Help define forward-looking improvements to the CUDA APIs and programming model
  • Extend important CUDA programming models and functionality such as CUDA Graphs
  • Explore ways to use Graphs to improve the scheduling of AI/ML workloads on GPUs to be more efficient and faster
  • Write effective, maintainable, and well-tested code
  • Develop code for multiple operating systems

Qualifications

  • BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
  • Strong C and C++ programming skills
  • Minimum of 4 years of related development experience
  • Experience driving projects across multiple teams
  • Experience working with large codebases
  • Background with operating system interfaces for threads, process control, and virtual memory
  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
  • Experience writing and debugging multithreaded programs
  • Good written communication as well as presentation skills

Skills

Required:C programmingC++ programmingOperating system interfaces (threads, process control, virtual memory)Multithreading

Benefits

  • equity
  • benefits (see NVIDIA benefits)
Last updated Sep 4, 2026. Interested? Apply on the company site.

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