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About Nvidia
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
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PhD Research Intern, Electronic Design Automation - 2027 is a research internship focused on the intersection of AI, GPU computing, Formal Methods, and Electronic Design Automation. Working within research and product teams alongside circuits, VLSI, and architecture members, you will develop innovative EDA software and algorithms while applying Agentic AI, LLMs, Generative AI, and Reinforcement Learning to chip design workflows. The role involves researching GPU-accelerated optimization algorithms, physical design algorithms, and formal methods with the goal of publishing and presenting original research. Candidates should possess expertise in logic synthesis, physical design, timing, and signoff. Required skills include programming in Python, as well as C++ and CUDA for parallel programming. This position addresses the technical challenge of utilizing AI and GPU acceleration to transform and optimize complex chip design processes within the EDA domain.
C
C++
Python
Deep Learning
Computer Architecture
Distributed Systems
Operating Systems
Compilers
LLM Training
Inference
Simulation
Modeling
Benchmarking
AI/ML Systems
System Software
Python
C++
CUDA
PyTorch
Deep Learning
Reinforcement Learning
Robotics
Autonomous Vehicles
Simulation
Machine Learning
Parallel Programming
Closed-loop Training
Verification and Validation