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Scientific Software Developer

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CalTech - California Institute of Technology

Pasadena, California

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Scientific Software Developer

Scientific Software Developer

Caltech

Job Category: Fulltime Temporary

Exempt Overtime Eligible: Exempt

Benefits Eligible: Benefit Based


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.

Job Summary

The Cushing Lab (https://cushinglab.caltech.edu/) seeks a Scientific Software Developer to lead the development and public release of software for predicting excited-state X-ray and electron energy-loss (EEL) spectra using Bethe-Salpeter Equation (BSE) and Time-Dependent Density Functional Theory (TD-DFT). The role focuses on transforming research code into efficient, user-friendly, and open-source tools through optimization, workflow design, and collaboration with scientists.

Essential Job Duties

  • Software Development: Refactor, optimize, and maintain scientific code; implement best practices (testing, version control, documentation).
  • Scientific Collaboration: Work with researchers to translate models into usable tools and optimize simulation inputs.
  • User Workflows & Interfaces: Develop intuitive interfaces (CLI/APIs) and streamlined workflows for simulations.
  • Machine Learning: Integrate data-driven methods to enhance performance and adaptability.
  • Open-Source Release: Prepare code for public distribution, including packaging, documentation, and user support.

Basic Qualifications

  • B.S. in Computer Science, Physics, Chemistry, or related field.
  • 4+ years of experience in software or scientific computing.
  • Proficiency in Python, C/C++, and/or Fortran.

Preferred Qualifications

  • Familiarity with electronic structure methods (DFT, TD-DFT, BSE).
  • Experience with scientific software integration and user-facing tools.
  • Knowledge of HPC or parallel computing.
  • Experience with machine learning in scientific applications.

Required Documents

  • Resume

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