NVIDIA · 1 month ago
Data Generation and User Simulation Research Intern — Fall 2026
NVIDIA is a leading technology company harnessing the power of AI to redefine computing. The Data Generation and User Simulation Research Intern will engage in groundbreaking research on generative models and artificial data creation, contributing to the advancement of AI model training through innovative user simulations.
Artificial Intelligence (AI)TransportationCloud ComputingEmbedded SoftwareGamingHardwareQuantum ComputingSemiconductorAI InfrastructureAutonomous VehiclesEmbedded SystemsFoundational AI
Responsibilities
Researching innovative techniques in generative models, artificial data creation, user simulation, reward modeling, and data-quality estimation for LLM training
Crafting and applying new methods for high-fidelity synthetic data. For example, behavioral calibration of simulated users against real-user signatures. Also, procedurally generated probe and scenario coverage, trajectory generation guided by verification, process-reward extraction from multi-step interactions, and population-aware data mixing for pre-training and post-training
Conducting experiments to validate that your synthetic data measurably improves downstream model performance — accuracy, robustness, calibration, multilingual parity, agentic safety — rather than only matching surface statistics
Collaborating with other researchers and engineers to integrate novel methods into production training and evaluation pipelines
Preparing research findings for internal presentations and potential publication at top-tier AI conferences
Qualification
Required
Pursuing a PhD in Computer Science, Machine Learning, Computational Linguistics, Computational Neuroscience, or equivalent program, with a specialization in deep learning, NLP, or LLM training
Research experience in at least one of: generative modeling, synthetic data generation, LLM post-training (SFT/RLHF/DPO/RL), reward modeling, multi-agent or interactive simulation, behavioral or cognitive modeling, or large-scale data curation
Excellent Python programming skills
Hands-on experience with deep learning frameworks (PyTorch) and the modern LLM training/serving stack (e.g., HuggingFace, vLLM, distributed training)
Strong research background with publications at top-tier AI, ML, or NLP conferences
Preferred
Experience training or fine-tuning LLMs end-to-end and evaluating them against real downstream tasks
Prior work on LLM-as-judge calibration, inter-rater agreement, or evaluator robustness for subjective dimensions
Prior work on user simulation, agent–user interaction modeling, or behavioral modeling grounded in real population data or cognitive science
Interest or background in multilingual / low-resource / sovereign-AI evaluation and training
Contributions to open-source projects in the SDG, LLM training, or evaluation space
Benefits
You will also be eligible for Intern benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
89%
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Marketing
Sales
Accounting and Finance
Customer Service and Support
Creatives and Design
Human Resources
Arts and Entertainment
Legal and Compliance
Trends of Total Sponsorships
*2026 (1247)
2025 (1868)
2024 (1353)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$29.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2026-06-15Post Ipo Debt· $25B
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
Recent News
The Motley Fool
2026-07-16
The Motley Fool
2026-07-16
2026-07-16
Company data provided by crunchbase