Internship in AI Computing Performance Architecture
2 months ago
NVIDIA is at the forefront of designing processor and system architectures that enhance machine learning, automotive, and high-performance computing (HPC) applications. We are seeking a technical specialist to spearhead our deep learning performance assessment and forecasting initiatives. This role presents a unique opportunity to contribute significantly within a dynamic, technology-driven organization.
Key Responsibilities:
- Identify deep learning applications and scenarios for performance analysis and forecasting.
- Define hardware and software configurations along with metrics to evaluate performance, power consumption, accuracy, and reliability in both single and multi-processor setups.
- Develop tools, frameworks, and methodologies for performance measurement, benchmarking, and reporting.
- Design and maintain workload and micro-benchmarking suites.
- Produce performance forecasts, comparative analyses, and reports for both internal and external stakeholders.
- Collaborate with various teams across the organization to influence the development of next-generation deep learning hardware and software.
Qualifications:
- Currently pursuing a BS, MS, or PhD in a relevant field such as Computer Science, Electrical Engineering, or Computer Engineering.
- Proficient in programming languages such as C/C++, Python, MPI, and OpenMP.
- Experience with deep learning workloads and operator performance is advantageous.
- Familiarity with GPU computing and parallel programming paradigms is a plus.
- Strong verbal and written communication abilities.
- Effective organizational, time management, and task prioritization skills.
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