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Nvidia NVIDIA Internships Deep Learning 
United States, California 
394804773

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US, CA, Santa Clara
time type
Full time
posted on
Posted 6 Days Ago
job requisition id

your resume,expressing interest in one of our 202Deep Learning Internships.review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

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.

Deep Learning Applications & Algorithms

  • Developing algorithms for deep learning, data analytics, or scientific computing to improving performance of GPU implementations

  • Course or internship experience related to the following areas could berequired: Deep Neural Networks, Linear Algebra, Numerical Methods and/or Computer Vision, Software Design, Computer Memory (Disk, Memory, Caches), CPU and GPU Architectures, Networking, Numeric Libraries, Embedded System Design and Development, Drivers, Real-Time Software

Deep Learning Frameworks & Libraries

  • Building underlying frameworks and libraries to accelerate Deep Learning on GPUs

  • Contributing directly to software packages such as JAX,PyTorch, and TensorFlow, integrating the latest library (e.g.,cuDNN) or CUDA features, performance tuning, and analysis

  • Optimizing core deep learning algorithms and libraries (e.g.,CuDNN,CuBLAS),maintaining

  • Course or internship experience related to the following areas could berequired: Computer Architecture (CPUs, GPUs,FPGAsor other accelerators), GPU Programming Models, Performance-Oriented Parallel Programming, Optimizing for High-Performance Computing (HPC), Algorithms, Numerical Methods


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.

include the following programming skills and technologies:

  • C, C++, CUDA, Python, x86, ARM CPU, GPU, Linux, Direct3D, Vulkan, OpenGL, OpenCL, Spark, Perl, Bash/Shell Scripting, Container Tools (Docker/Containers, Kubernetes), Infrastructure Platforms (AWS, Azure, GCP), Data Technologies (Kafka, ELK, Cassandra, Apache Spark), React, Go

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

You will also be eligible for Intern

Applications are accepted on an ongoingbasis.NVIDIA

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