Solutions Architect - Rack Scale Ai Systems

Nvidia Corporation

Base: 208,000 usd - 333,500 usd (level 5) or 256,0...
Not specified (suggested: hybrid based on industry trends).
12+ years relevant experience
6+ years linux and scripting
Os kernels and system engineering
NVIDIA is seeking a Solutions Architect for its Cloud Infrastructure Team, focused on deploying and optimizing Rack Scale AI products in diverse environments. The role requires extensive experience in system engineering, Linux, and cloud architecture, with an emphasis on collaborative problem-solving and innovative solutions

Job Summary

  • This role involves working with NVIDIA Product Teams to understand roadmaps and deploy Rack Scale AI products in datacenter or lab environments.
  • The position requires solving sophisticated problems involving multi-site deployments while collaborating with cross-functional teams including system and mechanical engineering.
  • Candidates will contribute to the overall quality of deployments and improve time to market for next-generation products in a fast-paced environment.

Matching Summary

Match Score: 85

NVIDIA is seeking a Solutions Architect for its Cloud Infrastructure Team, focused on deploying and optimizing Rack Scale AI products in diverse environments. The role requires extensive experience in system engineering, Linux, and cloud architecture, with an emphasis on collaborative problem-solving and innovative solutions.

Salary

Base: 208,000 USD - 333,500 USD (Level 5) or 256,000 USD - 414,000 USD (Level 6); Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • 12+ years relevant experience
  • 6+ years Linux and scripting
  • OS Kernels and system engineering
  • Dense datacenter design knowledge
  • Embedded systems and orchestration

Nice-to-have

  • Software engineering principles
  • GPU compute clusters administration
  • Large scale QA environments
  • MPI cluster computing skills
  • High speed InfiniBand interconnects

Key Requirements

  • Bachelor's or Master's Degree in Computer Science
  • 12+ years of relevant experience
  • 6+ years of Linux and Scripting experience
  • Solid background on OS Kernels
  • Experience in product engineering/failure analysis

Work Rights

Not specified

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