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 and design & implement DL solutions 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, and 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 that 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 OOP concepts and Data structures
- Knowledge of SQL/NoSQL Database management tools
- Would be a plus to have hands-on experience in the development of Web Applications (ASP.Net, MVC, web services).
What we need to see
- Bachelor's 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 a 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-learner.