NVIDIA · 4 months ago
NVIDIA 2026 Internships: PhD Autonomous Vehicles Research
US, CA, Santa Clara
Internship
Onsite
Intern
Start in 2026NVIDIA is a leader in accelerated computing and AI, transforming industries from gaming to healthcare. They are offering internships for PhD students focused on Autonomous Vehicles, where interns will design and implement cutting-edge techniques in vehicle autonomy and collaborate with teams to transfer research into product development.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Design and implement cutting-edge techniques in the field of vehicle autonomy
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
Qualification
Required
Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship
Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Frameworks (PyTorch, TensorFlow, etc.)
Strong background in research with publications at top conferences
Excellent communication and collaboration skills
Preferred
Experience with large-scale model training is a plus
Potential internships require research experience in at least one of the following areas: Next-Generation AV Architectures, Chain-of-Thought Reasoning, Mixture-of-Experts, Diffusion-LLMs, Diffusion-based Trajectory Decoding, Novel Policy Training Strategies, Closed-loop Training, Off-policy RL, Online RL, Enforcing Consistency, Foundation and Multimodal Models, Vision-language models, Multimodal reasoning, Spatial Multimodal Models, Modality Alignment, Model Scaling, Synthetic data, Inference Efficiency, Inference Optimizations (e.g., parallel decoding, speculative decoding), Token Representations, Model Distillation, Simulation and Behavior Modeling, Digital Twins, Scenario Generation, World Models, Behavior/Traffic Modeling, End-to-End AV Systems, Mapless driving, World Representations, Beyond imitation learning, Safety-aware end-to-end models, Perception and Representation Learning, Multi-modal sensor fusion, 2D/3D detection, segmentation, depth estimation, scene understanding, neural representations, Safe and Trustworthy Autonomous Systems, Principled robustness, Model explainability, Control Barrier Functions (CBFs), Verification and Validation of Safety-Critical AI Systems, Trustworthy AI/ML for autonomy and robotics, Data-Strategies for AI, Benchmarking AV
Benefits
Intern benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
Founded in 1993
10001+ employees
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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-11
2026-01-11
Company data provided by crunchbase