NVIDIA 2026 Internships: Deep Learning Computer Architecture - US

at Nvidia
📍 Santa Clara, United States
USD 41,600-147,700 per year
USD 20-71 per hour
INTERN
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 3 TensorFlow @ 3 Parallel Programming @ 3 Perl @ 3 PyTorch @ 3 CUDA @ 3 GPU @ 3

Details

NVIDIA offers a Deep Learning Computer Architecture internship program where students work on industry-impacting projects within NVIDIA's Deep Learning Computer Architecture teams. Internships are a minimum of 12 weeks full-time, and applications are accepted on an ongoing basis. Candidates should be actively enrolled and pursuing a Bachelor's, Master's, or PhD degree for the entire duration of the internship.

Responsibilities

  • Work on projects with measurable impact to NVIDIA's business.
  • Participate in research, modelling, performance analysis, profiling, optimization, and implementation tasks related to deep learning and computer architecture.
  • Collaborate with engineering teams on GPU/CPU architecture, GPU computing, parallel programming, and high-performance computing systems.

Requirements

  • 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 one or more of the following areas may be required:
    • Computer Architecture (GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, High-Performance Computing Systems)
    • GPU Computing (CUDA, OpenCL, OpenACC), GPU Memory Systems
    • Deep Learning Frameworks: PyTorch, TensorFlow, Keras, Caffe
    • HPC technologies: MPI, OpenMP
    • Modelling / Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Compiler Programming
    • Performance modeling, profiling, optimizing, and/or analysis
  • Depending on the internship role, prior experience or knowledge may include programming skills and technologies such as C, C++, Python, Perl, CUDA, OpenCL, OpenACC, PyTorch, TensorFlow, Caffe, MPI, and OpenMP.

Compensation

  • Internship hourly rate range: 20 USD - 71 USD (standard pay based on position, location, year in school, degree, and experience).

Benefits

  • Interns are eligible for NVIDIA intern benefits and student resources.

Additional Information

  • Applications reviewed on an ongoing basis; a recruiter may reach out if your experience fits an internship opportunity.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment. The company does not discriminate based on legally protected characteristics.
  • For more information about NVIDIA early talent programs and student benefits, applicants may consult NVIDIA's student resources and intern benefits pages.