GPU Cloud Systems Architect — Performance & Analytics

Socket.dev

Colorado

On-site

USD 224,000 - 357,000

Full time

5 days ago
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Job summary

NVIDIA is seeking a GPU System Performance Architect to help design next-generation GPU-accelerated cloud computing systems. You will develop innovative processor and system architectures and analyze performance trade-offs in large-scale data centers.

The role requires a Masters or PhD in CS/EE/CE with 10 years of experience, strong analytical skills, and deep knowledge of computer architecture. You will collaborate with software, product, and business teams to push the boundaries of GPU

Qualifications

  • MS/PhD in CS/EE/CE (or equivalent) with 10 years of relevant work or research experience.
  • Excellent mathematical and analytical skills.
  • Deep knowledge of computer architecture.
  • Strong communication, organizational, and interpersonal skills.
  • Experience with analytical performance modeling, simulation, profiling and analysis.

Responsibilities

  • Develop processor and system architectures for GPU-accelerated cloud computing.
  • Analyze performance, cost and efficiency trade-offs using models, simulators, and visualization tools.
  • Analyze hardware-software interactions in large-scale GPU data center deployments.
  • Collaborate with software, product, and business teams to guide GPU-accelerated cloud computing direction.

Skills

Advanced degree in CS/EE/CE
Strong analytical skills
Computer architecture expertise
Team communication skills
Performance modeling experience

Education

Master's or PhD in CS/EE/CE

Tools

Analytical simulators
Profiling tools
Data visualization tools

Job description

NVIDIA is seeking a GPU System Performance Architect to help design next-generation GPU-accelerated cloud computing systems. You will develop innovative processor and system architectures and analyze performance trade-offs in large-scale data centers.

The role requires a Masters or PhD in CS/EE/CE with 10 years of experience, strong analytical skills, and deep knowledge of computer architecture. You will collaborate with software, product, and business teams to push the boundaries of GPU

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