Work with some of the brightest minds in a premier AI company to develop leading machine learning frameworks, NVIDIA PhysicsNeMo and NVIDIA Earth2Studio, for our academic and industrial partners to build scientific ML technology and workflows for weather, climate, and earth system modeling.
Work with internal project teams to validate applications built using the framework on NVIDIA’s products, and integrate new functionalities from internal or external projects into the platform
Stay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new ideas to develop and enhance NVIDIA's Earth-2 technologies, with a focus on weather & climate AI

BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience
5+ yrs of relevant experience
Strong Python programming skills
Familiarity with containers, numeric libraries, modular software design
Deep knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms (graph networks, diffusion models, reinforcement learning etc.) with experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.)
Experience with development and application of machine learning techniques to solve real world scenarios in weather/climate
Experience with scientific visualization.
Strong analytical skills with bias for action
Good time-management and organization skills to thrive in a fast paced, dynamic environment
Solid written and oral communications skills.
Good teamwork and interpersonal skills

Senior Scientific Machine Learning Engineer

Key skills