Deep Learning Intern - Fall 2025

This role within Deep Learning Focus Group is strongly technical, responsible for building Deep Learning based solutions for validation of NVIDIA GPUs. For e.g. GPU Render Output Analysis (Video, Images, Audio) and sophisticated problems like Intelligent Game Play Automation. This person would need to analyze/understand the challenges from partners of various groups, design & implement DL solution to resolve them.

We are specifically looking for expertise in the following key areas:

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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.