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Deep Learning Algorithm Engineering Intern
Company | NVIDIA |
Address | Santa Clara, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Computer Hardware Manufacturing,Software Development,Computers and Electronics Manufacturing |
Expires | 2023-08-07 |
Posted at | 10 months ago |
NVIDIA is seeking Software Engineer Interns for its Deep Learning Algorithms team to develop and commercialize Artificial Intelligence solutions to diverse real-world problems related to NLP, CV, Speech, Text, Recommendation Systems, etc. Academic and commercial groups around the world are using GPUs to revolutionize AI and data analytics, and to power data centers. Come and help the team building the software which will be used globally. You will have a unique opportunity to interact with the scientific community to implement and improve the latest AI algorithms.
- Collaborate with team members and other partners.
- Construct and curate large problem specific datasets.
- Develop algorithms for deep learning, data analytics, machine learning, or scientific computing.
- Keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware and software engineers.
- Analyze and improve performance of GPU implementations.
- Excellent Python skills.
- Excellent analytical, programming, debugging, performance analysis, and test design skills.
- Pursuing a Bachelors, Masters, or PhD or equivalent in Computer Science, Artificial Intelligence, or Applied Math.
- Background with Deep Learning or DL Frameworks (e.g. TensorFlow, PyTorch, MXNet).
- Strong Mathematical fundamentals and algorithms skills or experience.
- Familiarity with HW architecture (ideally accelerators), numerical software, DL inference, deployment, model conversion topics (e.g. Torch Script, Torch Trace, ONNX, TensorRT/TRT)
- Experience doing performance analysis and tuning.
- Excellent C/C++, GPU programming (CUDA or OpenCL) skills.
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