NVIDIA 2026 Internships: PhD Autonomous Vehicles Research - US job opportunity at NVIDIA.

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NVIDIA NVIDIA 2026 Internships: PhD Autonomous Vehicles Research - US
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loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

By submitting your resume, you’re expressing interest in one of our 2026 Autonomous Vehicles focused Research Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.     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.     Learn more about Research at NVIDIA .     What you will be doing:   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.     What we need to see:   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.   Experience with large-scale model training is a plus.     Potential i nternships 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     Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.   Our 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 30 USD - 94 USD.
 You will also be eligible for Intern   benefits . ​ Applications are accepted on an ongoing basis. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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