GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
3 days ago
🏄 California – Remote
🌲 North Carolina – Remote
+2 more states
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• Design, develop, test, and optimize software for our next-generation SoCs. • Review architectural performance bottlenecks for various system wide workloads. • Identify HW/SW policies to drive performance and performance/watt leadership. • Build and drive architecture, analysis documents and communications about our technology. • Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors. • Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs.
• BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience). • 5+ years of relevant computer architecture or SW development experience. • Proven leadership skills and strong ownership on past projects. • Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs. • Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming. • Strong skills in performance analysis, data analysis and performance optimization.
• Eligible for equity and benefits
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