Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model

Nvidia

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Remote

Quick summary

Work type
Remote
Location
Santa Clara, CAAustin, TX
Employment
Full-time
Posted
26 days ago
Freshness
Confirmed live today
Closes
Nov 15, 2026
Nearby
99+ roles within 25 mi

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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TL;DR · Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model

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The Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model will join a team responsible for delivering features and improvements to the CUDA Driver, a core component for accelerating general-purpose computation on the GPU. The role involves architecting and implementing new features related to memory models and multi-node scalability for next-generation AI applications. Key responsibilities include defining forward-looking improvements to CUDA APIs, coordinating development across multiple teams, and writing maintainable code for multiple operating systems. Candidates must possess strong C and C++ programming skills, experience with large codebases, and a background in operating system interfaces for threads, process control, and virtual memory. The work addresses technical challenges in memory coherency, consistency models, and parallel computing for deep learning and scientific computation.

Skills

C C++ CUDA Parallel Computing Device Drivers Kernel Mode Development Memory Coherency Virtual Memory Linux Windows PyTorch Low-latency AI Inference Memory-mapped IO Interconnects

What you'll do

  • Architect and implement new features for CUDA’s memory model and multi-node scalability.
  • Drive development efforts and coordinate projects across multiple engineering teams.
  • Define forward-looking improvements to CUDA APIs and the programming model.
  • Write effective, maintainable, and well-tested C/C++ code for multiple operating systems.
  • Develop software to accelerate general-purpose computation for AI, scientific computing, and gaming.
  • Debug and develop multithreaded programs and operating system interfaces.

What we're looking for

  • BS or MS degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
  • Strong C and C++ programming skills.
  • Minimum of 8 years of related development experience.
  • Experience driving projects across multiple teams and 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 and presentation skills.
  • Prior experience with parallel computing, PyTorch, low-latency AI inference, or kernel mode development (preferred).

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