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Research Scientist, Efficient Deep Learning - New College Grad 2026
NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the deep learning efficiency research team. We are passionate about research that pushes boundaries but also has impact in the real world. We are p
In inglese
- Company
- NVIDIA
- Location
- US, CA, Santa Clara
- Status
- Open
- Posted
- 2026-06-11T00:00:00+00:00
NVIDIA's deep learning efficiency research team is hiring a new Ph.D. graduate to research methods that make models cheaper to run. The work covers post-training optimization such as pruning, quantization and neural architecture search, efficient architecture design, adaptive inference, and resource-efficient training and finetuning, alongside publishing papers, mentoring interns, and transferring technology to product groups. The posting requires a Ph.D. (or equivalent), experience with large language and vision-language models, hands-on large-scale training with tensor and pipeline parallelism, and strong Python and PyTorch skills. C++ and CUDA are a plus.
Original job posting