Weather Software Engineer

Job title:

Weather Software Engineer

Company

Apple

Job description

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 DescriptionApple’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 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.

Key Qualifications Key QualificationsPreferred Qualifications 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.

Education & Experience Education & Experience

Expected salary

Location

Cambridge

Job date

Wed, 31 Jul 2024 07:22:52 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.

yonnetim

Share
Published by
yonnetim

Recent Posts

Spanish Teacher (Maternity Cover) – Dynamic School, Enfield

Job title: Spanish Teacher (Maternity Cover) – Dynamic School, Enfield Company Wayman Education Job description…

17 minutes ago

Project Manager

Job title: Project Manager Company Canadian Bank Note Company Job description As an IT Project…

26 minutes ago

Research Fellow in Virology & Cell Biology

Job title: Research Fellow in Virology & Cell Biology Company University of Surrey Job description…

41 minutes ago

Construction and Facilities Management Associate – Montreal (1 Position)

JOB DESCRIPTION The Organizational Setting The Safety, Security and General Services Section (SSG) is responsible…

54 minutes ago

Assistant Professor in Bioorganic Chemistry

The Department of Chemistry at Simon Fraser University invites applications for a full-time tenure-track faculty…

54 minutes ago

Assistant/Associate Professor & Tier 2 Canada Research Chair in Wearable Diagnostic Technologies

Position Overview: We are seeking applications from emerging scholars who have a strong record of…

54 minutes ago
If you dont see Apply Link. Please use non-Amp version