AI Computing Performance Architect Intern
3 days ago
NVIDIA is pushing the boundaries of processor and system architectures to accelerate machine learning, automotive, and high-performance computing applications. We're seeking a skilled technical expert to lead our deep learning performance projections and analysis effort.
Key Responsibilities:
- Develop and establish deep learning applications and use cases for analysis and projections.
- Specify hardware and software configurations and metrics to analyze performance, power, accuracy, and resiliency in uniprocessor and multiprocessor configurations.
- Design and implement 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 with architecture, software, and product teams to guide the direction of next-generation deep learning hardware and software.
Requirements:
- Pursuing a BS, MS, or PhD in a relevant discipline (CS, EE, CE).
- Strong software skills with C/C++, Python, MPI, OpenMP, etc.
- 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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