Tools Development Engineer, Deep Learning Full-time

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 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.
• Develop, implement, and optimize computer vision algorithms for a variety of applications.
• Lead end-to-end project lifecycle from conceptualization to deployment.
• Collaborate with multi-functional teams to define project requirements and deliverables.

What we need to see:

• BE / BTech / ME / MTech / MS / MCA or equivalent experience.
• 5+ years of experience in Machine learning/Deep learning and Computer Vision.
• Acquainted with one of the Machine Learning Frameworks like Keras with Tensorflow and Pytorch
• Experience with cloud platforms (AWS, Azure, Google Cloud) and deploying models in a production environment.
• Proficient in Python
• Knowledge of OpenCV for Image Processing.
• Good written and verbal communication skills – present and share knowledge and ideas.
• Excellent analytical and problem-solving skills.
• Very organized, proactive, and self-learner

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.