GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
October 28
🇺🇸 United States – Remote
💵 $180k - $339.3k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• Join NVIDIA to work on CUDA driver for Windows. • Deliver features and improvements for computational workloads. • Collaborate across teams to enhance CUDA APIs and programming model. • Write effective, maintainable, and well-tested code.
• BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience) • 8+ years of relevant industry experience or equivalent academic experience after BS • Strong C and C++ programming skills • Experience working with large codebases • Experience with operating system interfaces for threads, process control, and virtual memory • Experience writing and debugging multithreaded programs • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO • Strong interest in system software • Knowledge of memory coherence and consistency models • Good written communication • Windows Display Driver Model (WDDM) experience • Experience with game development • Background in computer graphics (OpenGL, Vulkan, DirectX) • Experience writing Windows device drivers • Experience with kernel mode development
• Equity • Benefits
Apply NowOctober 28
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