Senior Tools Development Engineer – Machine Learning

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 complex problems like Intelligent Game Play Automation. This person would need to analyze/understand the challenges from stakeholders of various groups, design & implement DL solution to resolve them.What you'll be doing:Apply Machine Learning techniques to overcome QA and Automation challenges for different NVIDIA Product lines.Based on the domain, build datasets, curate the datasets, automatically enhance the dataset for continuous improved training.Design Convolution Neural Networks (CNNs)/Recurrent Neural Networks (RNNs), Regression Networks or Reinforcement Models for behavioral learning.Create a development environment for creating 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 stake holders across time zones to design and propagate new DL based solutions for end-to-end video/audio defect detection and gameplay automation.What we need to see:Master or PhD degree in artificial intelligence, machine learning, computer science or equivalent experience.At least 2 years of experience as a machine learning engineer.Extensive knowledge of Machine Learning Frameworks like Pytorch, Keras with TensorFlow, ONNX , and TensorRT.Advanced proficiency with Python.Knowledge of OpenCV for Image Processing, state-of-art deep learning algorithms in image classification, object detection, object tracking and image segmentation.Strong in OOPs , design skills and problem solving.Familiar with Linux and docker.Well versed with QA methodologies with good understanding of NVIDIA technology.Good written and verbal interpersonal skills – effectively articulate knowledge and ideas.Excellent time management and organizational abilities.Ways to stand out from the crowd:Knowledge of Transformer based LLM and AIGC, Imitation Learning, Model free/based RL, Hierarchical RL, Inverse RL, Meta-learning, Life-long learning.Hands on experience in solving complex problems using Deep learning Algorithms would be a plus.Experience and medals in data science or computer vision competitions (e.g., Kaggle, CVPR workshop) will be a plus.Have experience in C#.net or Python/Selenium for automation development.