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।

Senior Distributed Systems Software Engineer – DGX Cloud | NVIDIA

Build and scale Kubernetes-based GPU infrastructure for NVIDIA DGX Cloud AI workloads. Develop scheduling, monitoring, and health-management systems for reliable, high-performance clusters.

विवरण

  • Help build the production systems that operate large-scale GPU clusters for AI workloads on the DGX Cloud team.
  • Create custom Kubernetes software for scheduling GPU resources.
  • Develop monitoring and health-management capabilities that improve GPU asset reliability, availability, and scalability.
  • Use diagnostics from GPU hardware alongside cluster and network telemetry to inform system operations.
  • Partner with teams across NVIDIA to keep production AI clusters reliable, consistent, and highly performant.
  • Analyze system failures and strengthen services through a structured incident-management process.

आवश्यकताएँ

  • Substantial Kubernetes software-engineering experience spanning cluster operations, operator development, node-health monitoring, and GPU resource scheduling.
  • Professional software-engineering experience in a highly technical organization with demonstrable results.
  • Hands-on development with Kubernetes APIs and frameworks, beyond administering clusters.
  • Clear communication skills and the ability to collaborate with multifunctional teams, principals, and architects across organizations and regions.
  • At least 8 years of experience in a comparable role, including work on large-scale production systems.
  • Working knowledge of established software-engineering principles, tools, and practices.
  • Bachelor’s degree in computer science, engineering, physics, mathematics, or a related field, or equivalent experience.
  • Proficiency in systems programming languages such as Go or Python.
  • Strong command of data structures and algorithms.
  • Technical ability to manage and automate large-scale distributed systems across cloud providers.
  • Advanced practical experience with cluster-management platforms including Kubernetes, Slurm, and Bright Cluster Manager.
  • A demonstrated record of operational excellence in maintaining reliable, performant AI infrastructure.

लाभ

  • Equity compensation.
  • Company benefits.

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