Vultr
Vultr
Vultr एक वैश्विक क्लाउड इंफ्रास्ट्रक्चर कंपनी है, जो डेवलपर्स और व्यवसायों को मांग के अनुसार कंप्यूटिंग, स्टोरेज, नेटवर्किंग और डेटाबेस सेवाएँ प्रदान करती है। इसके प्लेटफ़ॉर्म में वर्चुअल मशीनें, बेयर-मेटल सर्वर, GPU-त्वरित इंफ्रास्ट्रक्चर, प्रबंधित डेटाबेस, ऑब्जेक्ट और ब्लॉक स्टोरेज, Kubernetes तथा तैनात किए जा सकने वाले मार्केटप्लेस एप्लिकेशन शामिल हैं। AMD और NVIDIA GPU, तेज़ नेटवर्किंग तथा 32 से अधिक डेटा सेंटर क्षेत्रों में उपलब्ध इंफ्रास्ट्रक्चर के साथ, Vultr डेवलपर-केंद्रित API और स्केलेबल क्लाउड टूल्स के माध्यम से सॉफ़्टवेयर, कृत्रिम बुद्धिमत्ता और उच्च-प्रदर्शन कंप्यूटिंग वर्कलोड को सक्षम बनाता है।

Senior GPU Infrastructure Engineer - United States Remote

Lead the validation, performance optimization, and reliability of Vultr’s GPU infrastructure for AI training and inference. You’ll qualify new hardware, troubleshoot distributed systems, and improve cluster automation at scale.

विवरण

  • Design and scale GPU infrastructure supporting AI training and inference workloads
  • Manage end-to-end validation for GPU clusters and incoming hardware platforms
  • Lead qualification and initial deployment activities for new GPU platforms
  • Identify and address performance constraints across GPU, CPU, PCIe, and networking layers
  • Create and maintain validation frameworks, test suites, and performance reference points
  • Build and improve automation for cluster provisioning and validation workflows
  • Set performance targets and define repeatable validation methods
  • Diagnose complex distributed-system problems, including issues involving libraries such as NCCL
  • Strengthen system reliability through preventive testing and performance tuning
  • Coach engineers and expand the team’s technical capabilities
  • Coordinate cross-functional efforts to increase GPU cluster reliability and efficiency

आवश्यकताएँ

  • At least five years of experience in GPU infrastructure, high-performance computing, or distributed systems
  • Advanced knowledge of Linux systems and server hardware
  • Demonstrated experience operating or supporting large-scale GPU clusters
  • Strong Python programming ability beyond basic scripting
  • Hands-on experience with Ansible or comparable automation frameworks
  • Experience establishing validation standards and performance baselines for GPU infrastructure
  • Strong debugging ability spanning hardware, operating system, and network layers
  • Working knowledge of high-speed networking concepts
  • Clear communication skills and a collaborative approach to cross-team work
  • Based in the United States
  • Legally authorized to work in the United States
  • Must indicate whether employment visa sponsorship is required

लाभ

  • The company covers 100% of employee medical, dental, and vision insurance premiums
  • 401(k) matching at 100% of contributions up to 4%, with immediate vesting
  • Up to $2,500 annually for professional development reimbursement
  • Eleven paid holidays, accrued paid time off, and PTO rollover
  • Additional PTO after three-year and ten-year anniversaries
  • One month of paid sabbatical every five years
  • Annual anniversary bonus
  • $500 remote-office setup stipend in the first year and $400 in each subsequent year
  • Internet reimbursement of up to $75 per month
  • Gym membership reimbursement of up to $50 per month
  • Company-paid Wellable subscription

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