Research Software Engineer
Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.
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.
- 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.
- 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).
- 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.