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Job Summary

The Climate Modeling Alliance (CliMA) is seeking a Research Software Engineer to develop, implement, and integrate components of the first Earth system model (ESM) that automatically learns from global observations and targeted high-resolution simulations of clouds, turbulence, and other elements of the Earth system. As a CliMA Research Software Engineer at Caltech, you will work in a dynamic, multi-disciplinary team of curious and creative scientists, engineers, and applied mathematicians, spanning the CliMA partner institutions.

Job Duties

• Work on an ambitious, high-profile scientific project with an opportunity to impact the climate sciences worldwide.
• Analyze problems, formulate mathematical models, and implement software solutions at the interface of computational science, applied mathematics, fluid dynamics, and Earth system science.
• Apply your expertise in computational science and your domain-specific expertise to design and develop innovative high-performance software suitable for the next-generation of supercomputing hardware with heterogeneous manycore architectures.
• Develop and implement innovative software solutions to climate modeling problems in collaboration with experts in GPU programming, language design, compiler development, parallel high-performance computing, and numerical techniques.
• Contribute to the design, performance specification, and development of an integrated open-source software system using modern languages and development techniques to ensure code health, scalability, and robustness.
• Manage and coordinate software projects involving scientists, applied mathematicians, and engineers.
• Work in a friendly and diverse working environment, collaborating closely with researchers in climate science, machine learning, and applied mathematics.

Basic Qualifications

• Completed a BS degree in computer science or mathematics.
• Demonstrated expertise in numerical methods for partial differential equations, through coursework and/or research experience.
• Experience developing large software projects in a distributed fashion, e.g., contributing to an open source project with distributed contributors.
• Experience with at least two programming languages (e.g., C/C++, Fortran, C#, Objective C, Python, Julia, Matlab/Octave).

Preferred Qualifications

• A graduate degree in computer science or mathematics.
• Experience working with high-performance computing systems, including multicore processors and GPUs or other accelerators.
• Experience in physics, computational fluid dynamics, and/or machine learning.
• Experience working in multi-disciplinary teams and interacting cross-functionally with a wide variety of people.

Required Documents

• Resume