NVIDIA
NVIDIA
NVIDIA गेमिंग, डेटा सेंटर, क्लाउड कंप्यूटिंग, स्वास्थ्य सेवा, विनिर्माण, ऑटोमोटिव और रोबोटिक्स सहित विभिन्न क्षेत्रों में उपयोग की जाने वाली त्वरित कंप्यूटिंग और कृत्रिम बुद्धिमत्ता प्रौद्योगिकियाँ विकसित करती है। इसका कार्य ग्राफ़िक्स प्रोसेसिंग यूनिट, AI प्लेटफ़ॉर्म, सिमुलेशन और उद्योग-केंद्रित समाधानों तक फैला हुआ है। इनमें सहयोगात्मक 3D वर्कफ़्लो के लिए NVIDIA Omniverse, स्वायत्त वाहन विकास के लिए NVIDIA DRIVE और स्वास्थ्य सेवा अनुप्रयोगों के लिए NVIDIA Clara शामिल हैं। कंपनी उन्नत कंप्यूटिंग, सिमुलेशन और AI-आधारित विश्लेषणों को समर्थन देने वाले बुनियादी ढाँचे और सॉफ़्टवेयर पर काम करने वाली बड़ी तकनीकी टीमों को एक साथ लाती है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

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

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