Nvidia Senior Deep Learning Software Engineer Algorithmic Model Optimization 

United States, California 

254576924

Prototype and develop model optimization methods, and build a most impactful model optimization platform

Collaborate with internal and external partners to accelerate the adoption of deep learning model optimization

Stay up to date with the latest research and innovations in generative AI and model optimization techniques

Analyze and optimize the theoretical and practical performance of DL models generated

Publish findings in top AI conferences, and create Intellectual Property

Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field.

3+ years of relevant work or research experience in Deep Learning.

Excellent software design skills, including debugging, performance analysis, and test design

Strong algorithms and programming fundamentals

Ability to work independently, define project goals and scope, and run your own development effort

Good communication, documentation habits, and interpersonal skills

Experience with one or more: Python, C++, performance tuning

Contributions to PyTorch, JAX, or other Machine Learning Frameworks

Knowledge of GPU architecture and compilation stack, and capability of understanding and debugging end-to-end performance

Familiarity with Nvidia’s deep learning SDK such as TensorRT

Strong understanding of deep learning algorithms and solutions

Strong understanding of ML model optimization techniques such as quantization, pruning, distillation.