What youll be doing:

• Apply Machine Learning/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 a development environment for crafting big networks, validating and deploying them.

• 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.

What we need to see:

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

• Proficient in Python

• 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.

Ways to stand out from the crowd:

• Hands on experience in solving complex problems using Deep learning Algorithms in your current role would be a plus.