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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, AI Accelerator Design and VLSI - 2027 is a research internship focused on the intersection of AI hardware and software co-design, accelerator architecture, IC design methodology, and VLSI design. The intern will contribute to novel research advancing state-of-the-art designs for AI workloads, develop innovative ASIC and VLSI techniques, and explore numerical methods for quantization, sparsity, or tensor decomposition based on computer arithmetic fundamentals. The role involves applying machine learning and agentic AI to automated hardware design tool flows and collaborating on prototype testchips with research and product teams. Candidates should possess skills in Python, PyTorch, SystemVerilog, C++, and High-Level Synthesis tools. This position addresses the technical challenges of optimizing high-impact workloads through advanced micro-architecture, digital VLSI circuits for computer arithmetic, and automated design methodologies to improve hardware efficiency.
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
VLSI
Physical Design
Floorplanning
Place and Route
Static Timing Analysis
Clock Tree Synthesis
Power Integrity
IR Drop Analysis
Physical Verification
DRC
LVS
RC Extraction
Synthesis
ICC2
PrimeTime
dc_shell
Innovus
Synopsys
Cadence
Mentor
Perl
C
C++
TCL
Linux
Python
SKILL
Make