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Nvidia AI Computing Performance Architect Intern 
China, Shanghai 
68963639

24.06.2024

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 workloads 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:

  • Pursuing BS, MS or PhD in relevant discipline (CS, EE, CE).

  • Strong software skills with C/C++, Python, MPI, OpenMP etc.

  • Experience of DL workload and operator performance will be a plus.

  • Familiarity with GPU computing and parallel programming models will be a plus.

  • Excellent oral and written communication skills.

  • Good organizational, time management and task prioritization skills.