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Principal Engineer, CUDA UMD - GPU Kernel Scheduling

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$272k - $431.3kfull-timePosted 7mo ago

About the role

Senior system software engineer to work on the CUDA Driver, focusing on GPU kernel scheduling and scheduling-related features for CUDA APIs and programming model. Opportunity to impact CUDA Graphs, multi-OS development, and cross-team collaboration.

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 15+ 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
  • Experience writing and debugging multithreaded programs
  • Good written communication as well as presentation skills

Skills

Required:C/C++ programmingMultithreaded programmingOperating system interfacesLarge codebase experienceCross-team collaboration

Benefits

  • equity
  • benefits
Last updated Sep 18, 2026. Interested? Apply on the company site.

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