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Nvidia Solution Architect Earth-2 NVIS- New College Graduate Switzerland, Zurich, Zurich 304099868
01.12.2024
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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
- 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
- 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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