About the role#
NVIDIA is looking for a GenAI Algorithms Intern to join the Algorithmic Model Optimization Team. You will focus on optimizing generative AI models, including large language models, vision-language models, and diffusion models, to improve inference efficiency. Your work will involve software-hardware co-design to balance accuracy and performance. You will operate across the AI software stack, from algorithm design to integration with frameworks like PyTorch, NeMo, and TensorRT-LLM.
What you'll do#
- Design and build modular, scalable model optimization software platforms.
- Explore, develop, and integrate deep learning optimization algorithms such as quantization, pruning, and neural architecture search.
- Deploy optimized models into open-source inference frameworks and contribute new features or specialized APIs.
- Collaborate with internal teams to provide model optimization solutions for specific customer use cases.
- Conduct GPU kernel-level profiling to identify and implement optimization opportunities.
What you'll need#
- Currently pursuing a Master's or PhD in Computer Science, AI, Applied Math, or a related field.
- A strong background in deep learning and hands-on experience with language models.
- A solid foundation in algorithms and programming.
- Proficiency in Python, PyTorch, and modern machine learning tools.
- Good written and verbal communication skills.
Location & details#
- This is a full-time, remote internship position.
- The internship follows a rolling term schedule.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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