Computational Platform and Data Management- Technical Professional

Requisition Id 14172 

 

­­Overview:  

We are seeking a Technical Professional for Computational Platform and Data Management Development who will focus on designing and implementing advanced computational platforms and data management solutions to support cutting-edge research and development activities. This role will involve creating high-performance software tools, streamlining workflows, and managing data infrastructure to enable breakthrough scientific discoveries. This position resides in the Microstructural Evolution Modeling Group in the Theory Section, Materials Science and Technology Division, Physical Science Directorate, at Oak Ridge National Laboratory (ORNL).  

 

As part of our team, you will contribute to the development and optimization of computational frameworks, ensuring the efficient handling and analysis of complex datasets in high-performance computing environments. Your work will play a critical role in accelerating research in materials science, physics, engineering, and related fields, driving innovation at ORNL.

 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 7,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

 

Major Duties/Responsibilities: 

• Design, develop, and maintain high-quality software tools, workflows, and applications to support research projects.
• Work closely with scientists, engineers, and domain experts to translate research ideas into functional software.
• Optimize software for performance, scalability, and reliability across diverse computing environments.
• Troubleshoot and resolve issues in code, algorithms, or system integration during research activities.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

• A BS degree in materials science, physics, mechanical engineering or a related field.
• A minimum of 2 years of experience in industrial software development.
• Experience with shell scripting (e.g., Bash, Python, Jmol, AWK, and/or PowerShell) to automate complex workflows of high-throughput first-principle calculations and data analysis. 
• Strong expertise in creating visualizations using Matplotlib, Plotly, and/or gnuplot to represent complex datasets effectively.
• In-depth knowledge of programming languages commonly used in scientific computing (e.g., C, Python).

 

Preferred Qualifications:

• Familiarity with first-principles modeling software such FHI-aims, VASP, RMG, LAMMPS.
• Extensive experience with Linux and HPC systems.
• Additional objective experience.
• Proficiency in compiling scientific software from source code using build systems like Make, CMake with knowledge of HPC-specific compilers such as Intel, PGI/NVIDIA, or GCC compilers, and libraries such as BLAS, LAPACK, FFTW, HDF5.
• Hands-on experience designing, conducting, and analyzing data in materials science or a related field.