10 days ago
Santa Clara, CA, USAIntern
H1B sponsor
Responsibilities
- Develop deep learning, data analytics, or scientific computing algorithms to improve GPU implementation performance.
- Build frameworks and libraries that accelerate deep learning on GPUs.
- Contribute to software packages including JAX, PyTorch, and TensorFlow, and integrate CUDA or cuDNN features.
- Optimize deep learning algorithms and libraries such as cuDNN and cuBLAS.
- Maintain build, test, and distribution infrastructure for deep learning libraries and frameworks on NVIDIA-supported platforms.
Requirements
- Be 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 internship.
- Clearly indicate the anticipated graduation month and year on a resume or CV.
- Depending on the internship, demonstrate relevant programming or technology experience such as C, C++, CUDA, Python, Linux, GPU programming, computer architecture, numerical methods, or high-performance computing.
- The internship is full-time for 12 weeks.
Benefits
- 12-week full-time internship with hands-on experience on NVIDIA Deep Learning teams.
- Intern benefits are provided.
- Expected hourly pay is 20 USD to 71 USD.
- Applications are reviewed on an ongoing basis.
Tech Stack
Apache CassandraApache KafkaApache SparkAWSAzureBashCC++DockerGoGoogle Cloud PlatformKubernetesLinuxPerlPythonPyTorchReactTensorFlow
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.