Introduction
We are seeking a Climate Modeling Software Developer who combines expertise in software engineering with climate science. If you are passionate about building high-performance simulation tools that inform climate policy, sustainability planning, and disaster resilience, this role provides a meaningful opportunity to shape the future.
As a Climate Modeling Software Developer at our organization, you will design, test, and scale computational models that simulate environmental processes, integrating AI and data science to deliver actionable climate predictions.
We offer competitive compensation, comprehensive benefits, and opportunities to collaborate with scientists and policymakers on global-impact projects.
Objectives of this role
- Build scalable climate simulation software integrating AI and machine learning.
- Collaborate with scientists to translate environmental models into computational frameworks.
- Optimize algorithms for accuracy, speed, and scalability.
- Ensure reproducibility, transparency, and validation of modeling results.
Your tasks
- Develop software for simulating atmospheric, oceanic, and land processes.
- Integrate real-world environmental datasets into climate models.
- Collaborate with AI researchers to implement predictive ML algorithms.
- Optimize simulation performance for HPC and cloud environments.
- Conduct validation testing against observational datasets.
- Contribute to open-source climate modeling initiatives.
Required skills and qualifications
- Bachelor’s degree in Computer Science, Climate Science, or related field.
- Strong programming skills in Python, Fortran, or C++.
- Familiarity with numerical modeling and scientific computing.
- Experience with parallel computing, HPC, or cloud-based simulation.
- Understanding of environmental and climate data formats.
Preferred skills and qualifications
- Advanced degree in Climate Science, Environmental Engineering, or Computational Physics.
- Experience with ML frameworks for climate prediction.
- Familiarity with earth observation datasets (satellite, radar, ocean buoys).
- Contributions to climate modeling software or research collaborations.
- Knowledge of climate policy frameworks and sustainability initiatives.
