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Data Generation and User Simulation Research Intern — Fall 2026 jobs in United States
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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
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Growth Opportunities
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H1B Sponsor Likelynote

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

Generative modelingSynthetic data generationLLM post-trainingReward modelingMulti-agent simulationBehavioral modelingCognitive modelingLarge-scale data curationPython programmingPyTorchHuggingFaceVLLMDistributed training

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 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 Company
Total Funding
$29.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2026-06-15Post Ipo Debt· $25B
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase