NVIDIA
NVIDIA
NVIDIA izstrādā paātrinātās skaitļošanas un mākslīgā intelekta tehnoloģijas, ko izmanto spēļu, datu centru, mākoņdatošanas, veselības aprūpes, ražošanas, autobūves un robotikas jomās. Uzņēmuma darbība aptver grafikas procesorus, mākslīgā intelekta platformas, simulāciju un nozarei paredzētus risinājumus, tostarp NVIDIA Omniverse sadarbības 3D darbplūsmām, NVIDIA DRIVE autonomo transportlīdzekļu izstrādei un NVIDIA Clara veselības aprūpes lietojumprogrammām. Uzņēmums apvieno lielas tehniskās komandas, kas strādā pie infrastruktūras un programmatūras, kura nodrošina progresīvu skaitļošanu, simulāciju un mākslīgā intelekta vadītu analītiku.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

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

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