Added
21 minutes ago
Type
Full time
Salary
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python machine learning ai gpu nvidia

๐Ÿ“‹ Description

  • Architect scalable GPU cluster topologies encompassing compute nodes, high-performance
  • Define and evaluate infrastructure architectures capable of supporting large-scale AI and
  • Model workload requirements for applications such as large language model training and inference
  • Design and validate high-throughput, low-latency networking architectures at both POD and
  • Work with network architecture teams to evaluate and validate technologies such as InfiniBand
  • Partner with storage engineering teams to optimize infrastructure for training datasets

๐ŸŽฏ Requirements

  • 5+ years of experience designing and architecting large-scale computing or GPU clusters.
  • Deep understanding of modern GPU architectures, including NVIDIA, AMD, or comparable platforms.
  • Strong experience with high-performance computing interconnects, particularly InfiniBand and RoCE.
  • Solid background in systems architecture, networking, hardware infrastructure, and hardware
  • Understanding of GPU cluster design principles, including compute topology, network architecture
  • Experience evaluating infrastructure performance and making architecture decisions based on

๐ŸŽ Benefits

  • Competitive compensation ranging from $184,000 to $318,000 OTE, including base salary and
  • Equity in the form of RSUs may be available at certain salary grades.
  • 100% company-paid medical, dental, and vision insurance for employees and their families.
  • 401(k) plan with up to a 4% company match and immediate vesting.
  • Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
  • Remote work reimbursement of up to $85 per month for mobile and internet expenses.
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