Intern - Deep Learning Computer Architecture (NVIDIA 2027 Internship)
NVIDIA· Intern
Santa Clara, CA$20/hr - $71/hrinternPosted 2mo ago
About the role
12-week full-time internship in Deep Learning Computer Architecture at NVIDIA,適 focusing on GPU/CPU architecture, deep learning, and high-performance computing. Open to B.S., M.S., or Ph.D. students with relevant coursework and skills.
Responsibilities
- Work on projects with measurable impact on NVIDIA's business during the 12-week internship.
- Engage in GPU/CPU architecture, deep learning, GPU computing, parallel programming, or high-performance computing systems focus areas as part of the internship.
- Possibly participate in modeling/performance analysis, profiling, optimization, and analysis activities.
- Collaborate with a team to apply programming skills and deep learning/HPC knowledge to assigned projects.
Qualifications
- Actively enrolled in a university pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field for the full duration of the internship.
- Anticipated graduation date clearly indicated on resume or CV.
- Experience or coursework in focus areas such as GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems.
- Experience in Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming.
- Programming skills in C, C++, Perl, CUDA; GPU computing (CUDA/OpenCL/OpenACC); Deep Learning Frameworks (PyTorch, TensorFlow, Caffe); HPC (MPI, OpenMP).
Skills
Required:GPU ArchitectureDeep LearningGPU ComputingParallel Programming
Nice to have:CPU Architecture
Benefits
- Intern hourly rate: 20 USD - 71 USD.
- Intern benefits (link provided in posting).
- Hands-on experience with NVIDIA Deep Learning Computer Architecture teams.
Last updated Oct 16, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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