Description
NVIDIA's Performance Lab is seeking a Platform Performance and Power Intern to conduct post-silicon performance and power benchmarking on NVIDIA and competitive GPU products. The intern will work on various platforms, including notebooks, desktops, workstations, and embedded systems, using industry-standard tools and applications.
Responsibilities:
- Implement hands-on tests focusing on performance and power on current GPU platforms across real-world applications from gaming, professional visualization, and AI.
- Set up and maintain test systems by configuring hardware, operating systems, drivers, and software tools used for benchmarking and data collection.
- Analyze benchmark and power data, turning raw results into clear reports that help hardware, software, and product teams improve GPU efficiency and performance.
- Debug issues that arise during testing and work with other engineering teams to resolve them.
- Contribute data and insights that influence future GPU builds and help compare NVIDIA products against competing solutions.
- Develop, implement, and maintain automation tools to improve testing efficiency.
Requirements:
- Pursuing a BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
- Hands-on programming experience with Python, including writing scripts for automation, data processing, or testing.
- Academic or project experience with computer architecture fundamentals.
- Experience with lab equipment such as DMMs, Agilent DAQs, or National Instruments DAQs.
- Exposure to performance or power measurement, including collecting, comparing, and interpreting results from experiments or coursework.
Preferred Qualifications:
- Interested in GPU technology and how hardware and software work together to improve performance per watt.
- Familiarity with electrical fundamentals or lab equipment used for power measurement, such as multimeters or data acquisition tools.
- Experience with running application-based benchmarks across Gaming, ProViz, AI domains.
- Passionate about learning, collaborating with engineers from different fields, and contributing to real product decisions.
The expected hourly rate for this position is $20 - $71 USD.
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