Nvidia AI Computing Performance Architect Intern 

China, Shanghai 

68963639

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.