Nvidia Deep Learning Intern - 

China, Shanghai 

936296636

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.

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.

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

• Excellent analytical and problem solving skills.

• Very organized, proactive, and self leaner.