[Remote] Senior Scientific Machine Learning Engineer – Earth-2

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading AI company known for its deep learning and HPC platforms that have made significant impacts across various fields. The role involves developing machine learning frameworks for weather and climate applications, collaborating with project teams, and staying updated on the latest innovations in deep learning.ResponsibilitiesWork 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 modelingWork 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 platformStay 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 AISkillsBS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience5+ yrs of relevant experienceStrong Python programming skillsFamiliarity with containers, numeric libraries, modular software designDeep 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/climateExperience with scientific visualization. Strong analytical skills with bias for actionGood time-management and organization skills to thrive in a fast paced, dynamic environmentSolid written and oral communications skills. Good teamwork and interpersonal skillsExperience using multi-node systems with data-parallel and model-parallel programming, performance optimization. Experience with HPC programming models (OpenMPI, NCCL), and/or CUDA or GPU kernel programmingExperience with nonlinear simulation tools and techniques, usage of major simulation codes. Published papers in the field of AI in scientific computing, especially in weather & climate applicationsFamiliarity with common tooling in the Earth-2 ecosystem (xarray, zarr, regridding, weather & climate data stores, etc.)BenefitsYou will also be eligible for equity and benefits.Company OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.