NVIDIA
NVIDIA
NVIDIA dezvoltă tehnologii de calcul accelerat și inteligență artificială utilizate în domenii precum jocurile video, centrele de date, cloud computing, asistența medicală, producția, industria auto și robotica. Activitatea companiei acoperă unități de procesare grafică, platforme de inteligență artificială, simulare și soluții dedicate anumitor industrii, inclusiv NVIDIA Omniverse pentru fluxuri de lucru colaborative 3D, NVIDIA DRIVE pentru dezvoltarea vehiculelor autonome și NVIDIA Clara pentru aplicații medicale. Compania reunește echipe tehnice numeroase care lucrează la infrastructura și software-ul ce susțin calculul avansat, simularea și analiza bazată pe inteligență artificială.

NVIDIA Remote System Software Engineer, Performance

Optimize performance for NVIDIA’s next-generation datacenter CPUs and CPU-GPU Superchips built on ARM SoCs. Analyze bottlenecks, benchmarks, and workloads across competing processors.

Descriere

  • Develop, test, and optimize software for next-generation SoCs before and after silicon is available.
  • Identify and investigate SoC performance bottlenecks.
  • Create analysis documents and communications about NVIDIA technology for internal or external audiences.
  • Compare microarchitecture and workload performance on NVIDIA ARM SoCs with processors from other silicon vendors.
  • Build tools and apply benchmarks to assess performance.

Cerințe

  • A bachelor’s or master’s degree in computer engineering, computer science, or a related field, or equivalent experience.
  • At least two years of relevant computer architecture or software development experience.
  • Hands-on technical experience and a record of strong work with complex software and hardware designs.
  • Strong knowledge of multicore hardware, operating system design, concurrency, virtual memory, caching, interrupts, device drivers, and real-time programming.
  • Experience analyzing data and performance, and optimizing performance.
  • Expertise in ARM architecture and its software ecosystem.
  • Proficiency in analyzing, debugging, and tuning performance across complex system software stacks.
  • Experience with CPU server workloads and performance analysis.
  • Familiarity with CUDA programming, GPUs, or both.
  • Experience in high-performance computing or large-scale computing environments.

Beneficii

  • Comprehensive benefits package.
  • Equity.
  • Competitive salary.

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