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।

AI Compute Engineer - California Remote

Deploy and validate Linux-based AI and HPC infrastructure for NVIDIA customers. Lead large-scale compute projects across networking, automation, system design, and customer implementation.

विवरण

  • Deploy, manage, and validate Linux-based AI and HPC infrastructure for new and existing customers
  • Serve as the technical domain expert throughout customer planning and implementation
  • Coordinate with customers, partners, and internal teams to define and deliver large-scale AI compute projects
  • Contribute across networking, system architecture, automation, and infrastructure validation
  • Create handover documentation and transfer knowledge as customers roll out complex systems
  • Improve internal products and processes by reporting bugs, documenting workarounds, and recommending enhancements

आवश्यकताएँ

  • At least four years of experience delivering in-depth support and deployment services while troubleshooting hardware and software products
  • Hands-on knowledge of Linux administration, including processes, packages, scheduling, kernel management, boot troubleshooting, performance analysis, logging, and advanced networking
  • Experience provisioning and managing clusters on bare-metal servers; Base Command Manager knowledge is an advantage
  • A four-year degree in Computer Science, Electrical Engineering, Computer Engineering, or a related equivalent background
  • Proficiency with Bash, Python, Ansible, or comparable scripting tools
  • Strong interpersonal skills with the ability to resolve customer issues effectively
  • Well-organized and able to prioritize multiple tasks with limited supervision
  • Experience using SLURM, LSF, UGE, or similar workload schedulers
  • Willingness to travel to customer sites within the United States for up to 20% of working time
  • Experience with HPL, NCCL tests, MLPerf, or other benchmarking tools
  • Experience with Kubernetes
  • Experience with InfiniBand
  • Experience supporting GPU-focused hardware and software
  • Experience with MPI
  • Experience with storage platforms such as Lustre or GPFS
  • Familiarity with OEM GPU platforms

लाभ

  • Equity compensation
  • Employee benefits
  • Equal opportunity employment

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