AI Computing Performance Architect Intern

3 weeks ago


Shanghai, Shanghai, China NVIDIA Full time

NVIDIA is developing cutting-edge processor and system architectures that accelerate machine learning, automotive, and high-performance computing applications. We are seeking a technical expert to lead our deep learning performance projections and analysis effort.

Key Responsibilities:

  • Establish and analyze deep learning applications and use cases.
  • Specify hardware and software configurations to analyze performance, power, accuracy, and resiliency in uniprocessor and multiprocessor configurations.
  • Develop tools, infrastructure, and methodologies for measurements, comparisons, and reports.
  • Create and maintain workloads and micro-benchmark suites.
  • Generate projections, comparisons, and analysis reports for internal and external consumption.
  • Collaborate across the company to guide the direction of next-generation deep learning hardware and software.

Requirements:

  • Pursuing a BS, MS, or PhD in a relevant discipline (CS, EE, CE).
  • Strong software skills with C/C++, Python, MPI, OpenMP, etc.
  • Experience with deep learning workloads and operator performance is a plus.
  • Familiarity with GPU computing and parallel programming models is a plus.
  • Excellent oral and written communication skills.
  • Good organizational, time management, and task prioritization skills.


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