Nvidia NVIDIA Internships Deep Learning Computer Architecture 

United States, California 

295008189

time type

Full time

posted on

Posted 6 Days Ago

job requisition id

society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Throughout the 12-weeklooking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.

What we need to see:

Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship.

Course or internship experience related to the following areas could be:

• Computer Architecture experience in one or more of these focus areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems

• GPU Computing (CUDA, OpenCL,OpenACC), GPU Memory Systems, Deep Learning Frameworks (PyTorch, TensorFlow,Keras, Caffe), HPC (MPI, OpenMP)

• Modelling/PerformanceAnalysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler

• Modeling,Profiling,Optimizing, and/orA

include the following programming skills and technologies:

• C, C++,Python,Perl,GPU Computing (CUDA, OpenCL,OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)

and other helpful student resources related to our latest technologies and endeavors