NVIDIA 2026 Internships: PhD Large Language Models Research

Details

NVIDIA is accepting applications for 2026 research-focused internships in Large Language Models (LLMs). By submitting your resume, you express interest in one of the LLM-focused research internships; resumes are reviewed on an ongoing basis and a recruiter may reach out if your experience fits an opportunity. Internships provide hands-on experience with NVIDIA research teams working on LLMs, multimodal models, model efficiency, training and alignment, and related areas.

Responsibilities

• Research and develop novel methods for advancing capabilities of large language and multimodal models.
• Collaborate with team members, other teams, and external researchers.
• Transfer research to product groups to enable new products or product types. Deliverables may include prototypes, patents, products, and/or published original research.

Requirements

• Must be actively enrolled in a university pursuing a PhD in Computer Science, Electrical Engineering, or a related field for the entire duration of the internship.
• Depending on the specific internship, prior experience or knowledge may include:
  • Programming: Python, C++, CUDA
  • Deep learning frameworks: PyTorch, TensorFlow, JAX
  • Strong research background with publications at top conferences
  • Excellent communication and collaboration skills
  • Experience with large-scale model training is a plus

Potential research areas (examples of experience that may be relevant):

• 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)

Compensation and Benefits

• Internship hourly rate: 30 USD - 94 USD (rate varies by position, location, year in school, degree, and experience).
• Interns are eligible for NVIDIA intern benefits (link provided in original posting).

Additional Information

• Applications are accepted on an ongoing basis.
• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate based on protected characteristics.

(Description sourced from the original NVIDIA internship posting. Technology, skills, and qualification details are preserved from the original text.)