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Nvidia - Santa Clara, CA

posted about 2 months ago

Full-time - Senior
Santa Clara, CA
Computer and Electronic Product Manufacturing

About the position

The GPU System Performance Architect role at NVIDIA involves designing and developing next-generation GPU-accelerated computing systems, focusing on deep learning, data analytics, and high-performance computing. This position is critical for extending the state of the art in GPU-accelerated cloud computing and offers the opportunity to make a significant impact in a dynamic, technology-driven environment.

Responsibilities

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

Requirements

  • Masters or PhD in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
  • 10+ years of relevant work or research experience.
  • Strong programming skills in Python and C++.
  • 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.

Nice-to-haves

  • Background in data center/cloud computing design with experience in crafting hardware for a virtualized environment.
  • Expertise in data analysis and visualization.
  • Prior experience and familiarity with GPU computing and parallel programming models.

Benefits

  • Equity options
  • Comprehensive health insurance
  • Retirement savings plan
  • Paid time off
  • Flexible work hours
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