NVIDIA 2027 Internships: Deep Learning Computer Architecture
Core
12-week full-time internship working on projects with measurable business impact in Deep Learning Computer Architecture.
Role type
Deep Learning Computer Architecture Intern
Builds
GPU/CPU architectures, deep learning systems, and high-performance computing solutions
Domain
Semiconductor / AI / High-Performance Computing
Deliverable
production ML models
Required skills
GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, High-Performance Computing Systems, Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming, Performance Modeling, Profiling, Optimizing, Analysis
Preferred skills
C, C++, Perl, CUDA, OpenCL, OpenACC, PyTorch, TensorFlow, Caffe, MPI, OpenMP
Technologies
CUDA, OpenCL, OpenACC, PyTorch, TensorFlow, Caffe, MPI, OpenMP
Responsibilities
Work on projects that have a measurable impact on the business; engage in GPU/CPU architecture design; perform deep learning and high-performance computing tasks; conduct performance modeling, profiling, and optimization.
Seniority
Intern
