Nvidia NVIDIA Internships Artificial Intelligence Deep Learning 

United States, Texas 

906286775

society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create

Artificial Intelligence and Deep Learning

looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.

Potential Internships in this field include:

Autonomous Vehicles

• Developing and trainingstate-of-the-artDeep Neural Networks for path generation

• Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests

• Course or internship experience related to the following areas could berequired:Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation

Deep Learning Applications & Algorithms

• Developing algorithms for deep learning, data analytics, or scientific computingtoimproving 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

• ntributing 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),GPUProgramming Models, Performance-Oriented Parallel Programming, Optimizing forHigh-Performance Computing (HPC), Algorithms, Numerical Methods

Robotics

• Building the fundamental infrastructure and software platforms of our system, working at the very heart of the software system, which will power every robot and application built with Isaac

• Course or internship experience related to the following areas could berequired:Robotics, Autonomous Vehicles, Validation Frameworks for Machine Learning/Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies

• Developing andmaintainingthe first-generationMLaaS(Machine Learning as a Service) Platform including data ingestion, data indexing, data labeling, visualization, dashboards, and data viewers

• Course or internship experience related to the following areas could berequired:

What we need to see:

• Currently pursuing a Bachelor's, Master's, or PhD degree within Electrical Engineering, Computer Engineering,ComputerScience,ArtificialIntelligenceor a related field

• Depending on the internship role, prior experience or knowledge requirements

  could
  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