- 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.
- 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.
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AI Computing Performance Architect Intern - Shanghai, 中国 - NVIDIA
描述
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:
What we need to see:
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