Deep Learning Performance Architect

NVIDIA
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Job Description

NVIDIA is developing processor and system architectures that accelerate machine learning, automotive and high performance computing (HPC) applications. We are looking for a technical expert to lead our DL performance projections and analysis effort. This position offers the opportunity to make a meaningful impact in a fast-moving, technology focused company.

What you'll be doing:

  • Establish DL applications and use-cases for analysis and projections.
  • Specify hardware/software configurations and metrics 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 worklaoads and micro-benchmark suites.
  • Generate projections, comparisons and analysis reports for internal/external consumption.
  • Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software and product teams.

What we need to see:

  • MS or PhD in relevant discipline (CS, EE, CE).
  • 3+ years of experience with micro-benchmarks, profiling and architecture analysis.
  • Strong software skills with Python, MPI, OpenMP etc.
  • Familiarity with GPU computing and parallel programming models.
  • Excellent oral and written communication skills.
  • Good organizational, time management and task prioritization skills.

Company Info.

NVIDIA

NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.

  • Industry
    Cloud computing,Video games,Computer software,Semiconductors,Computer hardware,Consumer electronics,Artificial intelligence
  • No. of Employees
    22,473
  • Location
    2701 San Tomas Expressway, Santa Clara, CA 95050, USA
  • Website
  • Jobs Posted

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