NVIDIA
NVIDIA 2027 Internships: Deep Learning
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Education
- Currently pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field; enrollment must continue throughout the internship.
About the job
Contribute to deep learning algorithms, applications, frameworks, or libraries, including improving their performance on GPUs during a 12-week internship.
What you'll do
- Develop deep learning, data analytics, or scientific computing algorithms and improve GPU implementation performance.
- Build or contribute to frameworks and libraries that accelerate deep learning on GPUs, including performance tuning and analysis.
- Optimize deep learning algorithms and libraries and maintain build, test, and distribution infrastructure.
What they ask for
- Be actively enrolled in a B.S., M.S., or Ph.D. program in Electrical Engineering, Computer Engineering, or a related field for the full internship.
- Clearly state the anticipated graduation month and year on the resume or CV.
- Depending on the role, have relevant course or internship experience in areas such as deep neural networks, computer architecture, GPU programming, algorithms, or numerical methods.
Pay
20 USD - 71 USD per hour (intern hourly rate)
Tools
JAX, PyTorch, TensorFlow, cuDNN, CUDA, C, C++, Python
AI focus
Develop deep learning algorithms and GPU-accelerated frameworks and libraries; NVIDIA also uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative