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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
You will also be eligible for Intern
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