C++ Software Engineer for Meteorological Forecasting Systems(f/m/d)
View: 148
Update day: 25-04-2024
Location: St. Gallen St. Gallen SG
Category: High Technology Mechanical / Technical Electrical / Electronics IT - Software
Industry: Information Services
Position: Entry level
Job type: Full-time
Job content
(f/m/d) | Product Development | Full Time | St. Gallen, SwitzerlandHave you ever wondered how the weather will be tomorrow?
As 140 Million Google Search results show, this is one of the most frequently asked questions in the world. It’s fair to say that weather can have a huge impact on all of our lives, both personally and professionally, so this is why, here at Meteomatics, we focus on the processing and provision of high quality weather data as well as the development of meteorological software products.
But why stop there? Better forecasting needs even more accurate inputs so we developed our own Meteodrone to collect the missing data from the lower atmosphere and are the first company to fly a network of weather drones operationally.
Now, let`s talk about you…
Your responsibilities
- Development of meteorological forecasting systems
- Development and optimization of high-performance algorithms for forecasting and processing of weather data
- Storage, processing and distribution of Petabytes of data (E.g., radar and satellite imagery, station observations and model forecasts)
- Development of visualizations
- Development of industry-specific solutions (E.g., solar and wind power forecasts)
- Wish to pioneer and fundamentally change the way weather forecasting is done
- Enjoy working in an interdisciplinary team
- University degree in computer science or comparable qualifications
- Scientific or technical background
- Solid knowledge of C++ (C++17)
- Solid knowledge of Linux and bash
- Experience in modeling and simulation of scientific processes favorable
- Experience in parallelization and high-performance computing favorable
- Experience in Web technologies (HTTPS, REST APIs, WMS, Websockets) favorable
- Python knowledge favorable
Deadline: 09-06-2024
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