NVIDIA 2027 Internships: Ph.D. Research Autonomous Vehicles
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 Autonomous Vehicles teams. We’re seeking strategic, ambitious, hard-working, 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 Frameworks (PyTorch, TensorFlow, etc.)
- Strong background in research with publications at top conferences.
- Excellent communication and collaboration skills.
- 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.
Nice To Haves
- Experience with large-scale model training is a plus.
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.
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
