Integration Software Engineer

Lamont-Doherty Earth Observatory at Columbia University
New York City, New York
Closing date
Jul 2, 2022

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Earth and Space Science Informatics
Career Level
Education Level
Job Type
Relocation Cost
No Relocation
Sector Type

Job Details

Position Summary

The recently awarded 2021 National Science Foundation Science and Technology Center Learning the Earth with Artificial Intelligence and Physics (LEAP, aims to develop next-generation climate models by developing and applying modern data science algorithms. LEAP is a joint effort between Columbia University, the University of California Irvine, New York University, The University of Minnesota, Teachers College, the National Center for Academic Research (NCAR), and the NASA Goddard Institute for Space Studies (GISS).  LEAP’s primary research objective is to improve near-term climate projections by merging Earth System modeling with new methods in machine learning.

The Integration Software Engineer (open rank) will work with a team of scientists from the LEAP center and NCAR and with NCAR software engineers to support the development of machine learning algorithms and their implementation and testing in the Community Earth System Model (CESM).

Though this position will be hired through the LEAP project by Columbia University, it is expected that the applicant will work within the CESM Software Engineering Group (CSEG) in the Climate and Global Dynamics Laboratory (CGD), which is part of the National Center for Atmospheric Research (NCAR), located  in Boulder, Colorado.


  • Provide software engineering support to aid implementation of new machine-learning based science, maintenance of testing frameworks, and development of new machine learning infrastructure in the CESM.
  • Contribute code changes and upgrades in support of CESM and LEAP community development activities and science goals.
  • Develop, implement, test, analyze, and document the integration of machine learning methods in the CESM.
  • Write code and assist in the design of system software for these systems.

Minimum Qualifications

  • Bachelor’s degree in computer science or physical science or its equivalent required.
  • A minimum of 4-6 years of related experience required in software development or climate / Earth System Modeling experience. 
  • Some experience with machine learning.
  • Excellent interpersonal and oral and written communication skills required.
  • Must be skilled at developing strong relationships with both internal and external partners.

Preferred Qualifications

  • Demonstrated experience in supercomputing programming environments including MPI, OpenMP, NetCDF.
  • Demonstrated ability to debug complex software running on hundreds to thousands of processors.
  • Demonstrated skill in the use of git and GitHub for source code management.
  • Advanced knowledge of modern Fortran, Python, and shell.
  • Advanced ability to work in a UNIX environment.
  • Coursework or experience in undergraduate-level physics or environmental sciences.
  • Facility with calculus, differential equations, linear algebra, machine learning, and statistics.
  • Experience in plotting and visualizing scientific data, or experience with graphical analysis tools.
  • Experience in numerical (weather/climate) model development and operation.
  • Proven ability to plan as well as coordinate development work and meet deliverable deadlines.
  • Ability to convey advanced technical concepts to others, including aptitude for public speaking to scientific, technical, customer/sponsor, and public audiences.
  • Excellent oral and written communication skills.
  • Demonstrated ability to work as part of a diverse, collaborative, multi-institution team.


Lamont-Doherty Earth Observatory seeks fundamental knowledge about the origin, evolution and future of the natural world. Its scientists study the planet from its deepest interior to the outer reaches of its atmosphere, on every continent and in every ocean, providing a rational basis for the difficult choices facing humanity.

Lamont is a core component of the Earth Institute, Columbia University. Nearly 200 Ph.D. level researchers work and teach there, and 80-90 graduate students are involved in research. Lamont also operates a federally funded research ship, the Marcus G. Langseth, which uses seismic data to map the sub-seafloor, highlighting hidden faults and other earthquake hazards.

Since its founding in 1949, Lamont-Doherty has been a leader in the earth sciences. Its scientists were the first to map the seafloor and develop a computer model that could predict an El Nino weather event, the first to provide concrete proof for the theory of plate tectonics and to reveal the oceans’ role in triggering abrupt climate change. With each year, our understanding of earth improves. Yet, new discoveries await us!

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