NVIDIA 2027 Internships: Ph.D. Research Large Language Models
About The Position
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading LLM teams. We’re seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Requirements
- Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
- Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Framworks (PyTorch, Tensorflow, JAX, etc.)
- Strong background in research with publications at top conferences.
- Excellent communication and collaboration skills.
Nice To Haves
- Experience with large-scale model training is a plus.
- Potential internships require research experience in at least one of the following areas: Large Language Models and Foundation Models, Transformer architectures, Knowledge distillation and data synthesis, Long-context methods, Model Efficiency and Optimization, Model compression and pruning, Quantization, Inference optimization and acceleration, Parameter-efficient fine-tuning, Neural Architecture Search (NAS), Training and Alignment, Large-scale model training, Instruction tuning, Reinforcement Learning, Advanced reasoning and test-time inference, Few-shot and zero-shot learning, Synthetic data generation, Multimodal and Vision Language Models, Retrieval-Augmented Generation (RAG).
Responsibilities
- Research and develop novel methods for advancing the capabilities of large language and multimodal models.
- Collaborate with other team members, teams, and/or external researchers.
- Transfer your research to product groups to enable new products or types of products.
- Deliverable results include prototypes, patents, products, and/or publishing original research.
Benefits
- Intern benefits
- Internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
