NVIDIA · 8 hours ago
Senior Scientific Machine Learning Engineer – Earth-2
Santa Clara, CA
Full-time
Onsite
Senior Level
$152K/yr - $242K/yr
5+ years expNVIDIA is a leading AI company known for its deep learning and HPC platforms. They are seeking a Senior Scientific Machine Learning Engineer to develop machine learning frameworks for weather, climate, and earth system modeling, while collaborating with internal teams and staying updated with the latest research in deep learning techniques.
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Hiring Manager
Bella Yanovsky
Responsibilities
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
Qualification
Required
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
Preferred
Experience 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 programming
Experience 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 applications
Familiarity with common tooling in the Earth-2 ecosystem (xarray, zarr, regridding, weather & climate data stores, etc.)
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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