Senior System Software Engineer, Performance - CUDA Driver

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.
• What we need to see
• 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.

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