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.

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
• Knowledge of SQL/NoSQL Database management tools
• Would be a plus to have hands on experience in development of Web Application (ASP.Net, MVC, web services).

• Bachelor degree pursuing B-Tech/M-Tech Computer Science or related field (or equivalent experience)
• Proficient in using one of the Machine Learning Frameworks like Keras with Tensorflow/Pytorch
• Knowledge of OpenCV for Image Processing.
• Proficiency in C#.net or Python/Selenium for automation development.
• 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.