Senior Scientific Machine Learning Engineer – Earth

NVIDIA’s deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start‑ups, and industry, including the world’s largest Internet companies. NVIDIA is building a family of open models, libraries, and frameworks that democratize global access to professional‑grade weather and climate AI.

• Collaborate with a team to develop leading machine learning frameworks, NVIDIA Physics Ne Mo  and NVIDIA Earth2
  
  Studio, for 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, implementing and experimenting 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+ years 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 a bias for action.
• Good time‑management and organization skills to thrive in a fast‑paced, dynamic environment.
• Solid written and oral communication skills.
• Good teamwork and interpersonal skills.

• 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, reg ridding, weather & climate data stores, etc.).

Compensation & Benefits:
Base salary range for Level 3 is 152,000 USD‑241,500 USD; for Level 4 is 184,000 USD‑287,500 USD. Eligible for equity and benefits.

Applications will be accepted until June 1, 2026.

NVIDIA is committed to fostering an inclusive work environment and prides itself as an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.