Solution Architect, Climate Data Scientist - Zurich, Schweiz - NVIDIA

NVIDIA

Geprüftes Unternehmen

Zurich, Schweiz

vor 1 Woche

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

NVIDIA is building Earth-2, or E-2, an initiative to accelerate production of digitals twin of the Earth combining GPU-accelerated computing; deep learning and breakthroughs in physics-informed neural networks; machine learning emulation of physics predictions, along with vast quantities of observed and model data to learn from.

NVIDIA's Modulus, a physics-informed machine learning (physics-ML) framework for scientific computing, enables a full suite of AI-based weather and climate prediction models such as our in-house open-source model called FourCastNet (FCN).

NVIDIA's FourCastNet is pioneering the AI revolution in weather and climate prediction. It is a data-driven, generative AI-based weather forecasting model that matches the accuracy of the gold standard in numerical weather prediction

ECMWF's Integrated Forecasting Systembut runs ordersofmagnitude faster and more energyefficiently. FourCastNet combines the latest advances in transformers and neural operators, bringing together the best of AI and physics. It's the first of a wave of datadriven, AIbased weather prediction models poised to revolutionize the enterprise of weather and climate prediction. NVIDIA aims at harnessing the power of artificial intelligence to substantially accelerate climate science. The Climate and Sustainability Solution Architect team will support efforts in the fields of climate modeling, mitigation, monitoring, adaptation, disaster response, and weatherextremes. Solution architects will work closely with academic research, operational climate/weather centers, and industrial customers. In the context of this large effort led by NVIDIA, we are looking for a passionate, hardworking, and creative customer facing Climate Data Scientist to support these efforts.

What you'll be doing:

Support customers in using our products. Help developing solutions aligned with customer's requirements
Support Business Development teams. Work with academic research, public sector organizations and industrial customers to support the development of usecases and digital twins based on NV technology
Stay uptodate with the latest AI/ML/Digital Twin innovations
Deliver trainings, hackathons, demos and conference presentations on results using NVIDIA GPUs and platforms

What we need to see:

AI/ML expertise, MS/PhD degree in Climate Science (Climate, Weather, Ocean), Earth Systems, Climate Physics, Climate Analysis or related technical field 5+ years of industrial or academic experience with good programming skills (Python and/or C/C++)
Experience in handling climate and weather data, scientific/engineering simulations, digital twin skills
Experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow etc)
Familiarity with containers, numerical libraries, modular software design, version control
Willingness to learn NVIDIA platforms, in particular NVIDIA Modulus and NVIDIA Omniverse
Solid written and oral communications skills and familiarity with collaborative environments
Team players, creative abilities, can learn and adapt quickly

Ways to stand out from the crowd: