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Senior System Software Engineer, Performance - CUDA Driver

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$184k - $287.5kFull-timePosted 7mo ago

About the role

Senior systems software engineer to improve the CUDA Driver performance across CPU/GPU, interconnects, and systems software; focus on performance-critical CUDA Driver features, cross-layer optimization, and future GPU architectures.

Responsibilities

  • Develop and ship performance-centric CUDA Driver features and programming-model capabilities from design through validation.
  • Diagnose complex performance problems through workload analysis, focused measurement and modeling, cross-layer root-cause isolation, and application-level validation.
  • Optimize critical CUDA primitives, memory management and movement, CPU–GPU coordination, and interconnect paths for latency, throughput, bandwidth, efficiency, and scalability.
  • Establish performance goals for current and future platforms, characterize as new platforms come online, close software and hardware gaps, and drive performance readiness through releases.
  • Translate workload and platform evidence into CUDA API, programming model, system software, and future GPU architecture recommendations.
  • Set subsystem performance direction and mentor engineers tackling complex systems and performance challenges.
  • Influence technical decisions with clear performance evidence and tradeoffs and strengthen implementations through rigorous design and code reviews.

Qualifications

  • A BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field—or equivalent practical experience—with at least 7+ years of relevant systems-software development experience.
  • Strong production C/C++ systems-programming experience, including delivery of substantial features, optimizations, or production fixes in a complex codebase.
  • Strong operating systems and concurrency foundations, including threads, synchronization, processes, virtual memory, and user/kernel interactions.
  • Strong computer architecture foundations, including processors, memory hierarchy, caching and coherence, data movement, and system interconnects.
  • Demonstrated success improving real software performance: measuring behavior, identifying bottlenecks, implementing optimizations, and profiling to prove their effectiveness.
  • Sound technical judgment, ownership of ambiguous problems, and clear communication across organizational and disciplinary boundaries.
  • Direct CUDA or GPU experience is valuable but not required when accompanied by deep systems software, OS, architecture, and performance-engineering foundations.

Skills

Required:C/C++

Benefits

  • equity
  • benefits (per NVIDIA benefits)
Last updated Oct 16, 2026. Interested? Apply on the company site.

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