PhD Research Intern, Autonomous Systems and Physical AI Research
Nvidia
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This listing doesn't post a salary. Most similar roles pay $130,068–$224,125.
Based on 240 similar postings.
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Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 905 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 887 roles with salary data.
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PhD Research Intern, Hardware and Systems Architecture - 2027 is a role within the research team focused on developing cutting-edge hardware, software, and algorithmic technologies for next-generation GPU systems. The intern will conduct research on algorithms, hardware, and system software to advance state-of-the-art capabilities in deep learning, humanoid robotics, database analytics, and general computing. Daily responsibilities include inventing new techniques, methodologies, and devices, as well as developing methods for scientific evaluation through simulation, modeling, and benchmarking. The role requires proficiency in C, C++, and Python, along with experience in computer architecture, operating systems, distributed systems, or compilers. Candidates will address technical challenges involving agentic driven techniques, LLM training infrastructure, and AI/systems co-design to create prototypes and patents that establish a technology vision for products five to ten years into the future.
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