Solution Architect, Earth-2 NVIS- New College Graduate

November 29, 2024

NVIDIA is building Earth-2, a platform 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 aims at harnessing the power of artificial intelligence to substantially mitigate climate change. The Earth-2 Solution Architect team will support efforts in the fields of weather and climate risk modeling, mitigation, monitoring, adaptation, disaster response, and weather-extremes. Solution architects work closely with customers and help them deploy our solution stack on their systems. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. We are looking for a solution architect who can work jointly with the NVIDIA Infrastructure Specialists Team to deploy Earth-2 on the largest and fastest AI/HPC systems.

What You'll Be Doing

Support the deployment of Earth-2 on large clusters and work closely with the NVIDIA Infrastructure Specialists Team
Support customers in using our products. Help developing solutions aligned with customer’s requirements
Work with multiple teams: Engineering, Product, Sales and Marketing in a constantly evolving environment with ability to multitask in a fast-paced environment
Work on building digital twins based on NVIDIA technology
Work with large datasets, including real-time geospatial data and historical records, to identify vulnerabilities and quantify potential impacts
Stay up-to-date with the latest AI/ML/Digital Twin innovations
Deliver trainings, hackathons and demos on using our solutions and platforms

Other Jobs You May Be Interested In

AI/ML expertise, MS/PhD degree in Environmental risk, Climate Science, Computational Physics, Computer Science, or related technical field
3+ years of industrial or academic experience with good programming skills (Python and/or C/C++)
Experience in weather and climate risk modeling with focus on AI models, and data pipelines
Knowledge of cloud platforms and high-performance computing systems
Experience in digital twin technologies
Experience in developing or using major deep learning frameworks (e.g., PyTorch)
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

Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience
Experience in industrial applications of the climate science to climate-tech, risk modeling, agri-tech, financial sectors, weather forecasting, renewables
Running, analyzing or visualizing output from comprehensive Earth System Models

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