NVIDIA
NVIDIA
NVIDIA kuria spartinto skaičiavimo ir dirbtinio intelekto technologijas, naudojamas žaidimų, duomenų centrų, debesų kompiuterijos, sveikatos priežiūros, gamybos, automobilių pramonės ir robotikos srityse. Įmonės veikla apima grafikos procesorius, dirbtinio intelekto platformas, modeliavimo sprendimus ir konkrečioms pramonės šakoms skirtus sprendimus, įskaitant NVIDIA Omniverse bendradarbiavimu grindžiamiems 3D procesams, NVIDIA DRIVE autonominių transporto priemonių kūrimui ir NVIDIA Clara sveikatos priežiūros taikomosioms programoms. Įmonė suburia dideles technines komandas, dirbančias su infrastruktūra ir programine įranga, palaikančia pažangų skaičiavimą, modeliavimą ir dirbtiniu intelektu grindžiamą analitiką.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

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

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