Nvidia Deep Learning Intern - Fall 

China, Shanghai 

269759104

Game play automation using deep learning (DL) and artificial intelligence (AI) techniques, with a focus on research and application in the gaming industry.The candidate should be proficient in the following DL techniques:

• Deep Reinforcement Learning (DRL)

• Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)

• Generative Adversarial Networks (GANs)

Prior experience or research in AI-driven bots, In-Game Movement Automation, and Player Behavior Prediction is highly desirable.

Knowledge in using AI development tools for test plans creation, test cases development and test cases automation.

What you’ll be doing:

• Apply Machine/Deep Learning techniques to overcome QA and Automation challenges for different NVIDIA Product lines.

• Based on the domain, build datasets, curate the datasets, automatically improve the dataset for continuous improved training.

• Design Convolution Neural Networks (CNNs)/Recurrent Neural Networks (RNNs), Regression Networks or Reinforcement Models for behavioral learning.

• Build an end to end automation (in C-Sharp/Python) solution which will consume the Neural networks to validate NVIDIA GPUs.

• Work with partners across time zones to propagate new DL based solutions and help them adapt.

• Strong in OOPs concepts and Data structures

What we need to see:

• Pursuing B-Tech/M-Tech Computer Science or related field

• Proficient in using one of the Machine Learning Frameworks like Keras with Tensorflow/Pytorch

• Knowledge of OpenCV for Image Processing.

• Have experience on Machine Learning Frameworks like Pytorch, Keras with TensorFlow, ONNX , and TensorRT.

• Proficient with QA methodologies with good understanding of NVIDIA technology.

• Experience in using AI development tools for test plans creation, test cases development and test cases automation.

• Good written and verbal communication skills – present and share knowledge and ideas.

• Excellent analytical and problem solving skills.