AI Computing Performance Architect Intern
3 days ago
NVIDIA is developing processor and system architectures to accelerate machine learning and high-performance computing applications.
As a technical expert, you will lead our deep learning performance projections and analysis effort.
This role offers the opportunity to make a meaningful impact in a fast-moving, technology-focused company.
Key Responsibilities:
- Establish deep learning applications and use cases for analysis and projections.
- 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 Bachelor's, Master's, or Ph.D. in a relevant discipline (CS, EE, CE).
- Strong software skills in C/C++, Python, MPI, and OpenMP.
- 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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