Senior System Software Engineer - Performance

NVIDIA is a leader in computer graphics and accelerated computing, seeking a highly motivated engineer to join their Tegra system-on-chip software organization. The role involves designing, developing, and optimizing software for next-generation SoCs, focusing on performance and efficiency for datacenter products.

Responsibilities:

• Design, develop, test, and optimize software for our next-generation SoCs. In both pre-silicon and post-silicon phases of execution
• Review architectural performance bottlenecks for various system wide work loads. Identify HW/SW policies to drive performance and performance/watt leadership
• Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences 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

Requirements:

• BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience)
• 6+ 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
• Deep expertise in ARM architecture and SW ecosystem
• Proficient in analyzing, debugging and tuning performance of complex system software stacks
• Experience with CPU server system workloads and performance analysis
• Familiarity with CUDA programming and/or GPUs
• Experience with HPC or large-scale computing environments