Weather Software Engineer

Summary

Posted: Aug 23, 2024

Role Number:200560962

Imagine what you could do here! The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Description

Apple’s Weather Forecasting team is seeking a highly motivated and skilled Weather Software Engineer to join our group. As a key team member, you will play a pivotal role in enhancing our weather forecasting systems and impacting hundreds of millions of Apple users worldwide. You will get the opportunity to work in a multidisciplinary team on one of the most used weather forecasting systems in the world and will work across the entire technology stack. We seek candidates with exceptional communication skills and the ability to adapt engineering solutions to complex data challenges. A proven track record in weather data analysis is essential, as you should be eager to translate your insights into code and deliver impactful solutions at scale.

Minimum Qualifications

• Hands-on experience in data processing and analysis for atmospheric science and forecasting.
• In-depth understanding of the fundamentals of weather and forecasting.
• Ability to break down complex atmospheric science problems and collaborate effectively with software engineers to translate these solutions into code.
• Proficiency in understanding software systems and architecture, including existing data flows, design decisions, and trade-offs.
• Experience in all aspects of software engineering and a proven track record of delivering data-driven solutions at scale.
• Bachelor’s Degree or equivalent experience in Atmospheric Science, Engineering, Computer Science, Physics, or related field.

Preferred Qualifications

• Experience with Python or other programming languages for large-scale data processing.
• Proficiency in machine learning, particularly neural networks, as applied to atmospheric science.
• Knowledge of remote sensing, forecasting models, and observational datasets.
• Experience with weather modeling and forecast validation techniques.
• Familiarity with cloud computing platforms and their applications in weather forecasting.
• MS/PhD in Atmospheric Science, Engineering, Computer Science, Physics, or related field.