Looking for an opportunity to make an impact?
We are seeking a Computational Fluid Dynamics (CFD) Software Engineer to join our team in Morgantown, WV. The position will be a hybrid of on site and remote research and development support for the NETL R&D facility in Morgantown, WV. This work will involve a multi-disciplinary, scientific, and technically-oriented national laboratory team, participation alongside other data scientists, engineers, geologists, and computer scientists that produces technological solutions for America’s energy challenges. From developing creative innovations and efficient energy systems, to advancing technologies that enhance oil and natural gas extraction and transmission processes, NETL research is providing breakthroughs and discoveries that support home-grown energy initiatives, stimulate a growing economy, and improve the health, safety, and security of all Americans. Highly skilled women and men at NETL’s three research sites – Albany, Oregon; Morgantown, West Virginia, and Pittsburgh, Pennsylvania – conduct a broad range of research activities that support DOE’s mission to advance the national, economic, and energy security of the United States. We are seeking a CFD Software Engineer interested in joining a distributed, multidisciplinary team working on the cutting edge of high-performance computing (HPC) and multiphase flow modeling. This work specifically supports MFIX-Exa, an energy application in the US DOE’s Exascale Computing Project. MFIX-Exa is a coupled computational fluid dynamics and discrete element method (CFD-DEM) code developed on the AMReX software framework (https://amrex-codes.github.io/). The high-performance code is massively scalable, performance portable and designed to utilize the largest supercomputers in the DOE’s fleet. The challenge problem which MFIX-Exa is tasked with simulating is NETL’s 50kW chemical looping reactor which will require tracking billions of particles and solving all relevant physicochemical phenomena. In this exciting role, you will support the MFIX-Exa project just as the code is being deployed at a new scale of leadership class computing.
Hybrid Schedule: Approximately 25% onsite and 75% working from home.
Come join the Leidos Research Support Team supporting the National Energy Technology Laboratory (NETL), where you’ll be able to work side by side conducting research with world-class scientists and engineers using state of the art equipment to contribute to new areas of basic and applied research; discover, integrate, and mature technology solutions to enhance the nation’s energy foundation and protect the environment for future generations. You will contribute to the development of patents, written reports, journal articles, and contribute to presentations on findings, highlights, and innovative solutions in DOE-sanctioned meetings, scientific conferences, and national committees. Explore the Research Support Services (RSS) contract for the U.S. Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) here - https://netl.doe.gov/.
If this sounds like the kind of environment where you can thrive, keep reading!.
- Working with the research team to further enhance MFIX-Exa code development; writing and reviewing HPC source code.
- Developing, executing, and analyzing simulations using the MFIX-Exa code to further the research effort of the project.
- Profiling MFIX-Exa to improve code performance, especially on emerging exascale architectures relative to existing and future research projects.
- Presenting ideas and results to the research team to demonstrate progress toward research goals.
- Contributing to future research planning.
- Working independently and collaboratively with members of the research team to meet milestones and deliverables to meet research goals and lead to future opportunities.
- Assisting or leading efforts in writing research papers and creating conference presentations to demonstrate the accomplishments of the research efforts.
- Bachelor’s degree and 4+ years of related experience; or Master’s degree and 2+ years of related experience; or equivalent combination of related education and work experience.
- Expertise in C++ programming and parallel computing, including MPI and OpenMP is required.
- Ability to work productively on an extended, multidisciplinary team balancing research and code development objectives.
- Experience compiling and running complex codes on a Linux-based cluster or supercomputer.
- Proficiency with version control systems, e.g., GitLab, GitHub, Bitbucket, etc.
- Familiarity with computational science and engineering modeling workflows, e.g., CFD, DEM, molecular dynamics (MD), particle in cell (PIC) methods, solid mechanics, or equivalent.
- Effective communication and interpersonal skills.
- Familiarity with the AMReX framework or one of its applications.
- Experience with a high-level language such as Python, Julia, R, etc.
- Interest in one or more of the following areas: continuous integration (CI), container technologies (e.g. Docker), Jupyter notebooks, in situ visualization and analysis methods.
- CFD experience using NETL’s classic MFIX software.
Program Specific Salary Range: $85K to $100K
Pay Range:Pay Range $74,750.00 - $115,000.00 - $155,250.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 45,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $14.4 billion for the fiscal year ended December 30, 2022. For more information, visit www.Leidos.com.
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