Requisition Id13027

Overview:

The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a software application engineer with expertise in computational mesh generation to generate validated computational results that are used for large-scale, physics-based simulations for variety of applications.

Our Group:

MMF is a computational multiphysics modeling group at the forefront of deploying novel computational engineering techniques for problems that are critical to U.S. national and energy security. We utilize our expertise in numerical discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention is to integrate computational modeling with experimental methods and provide innovative solutions for technology growth. We aspire to help generate technical artifacts (patents) as well as scientific artifacts (journal articles).

Almost all of our simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading driver of computational accuracy. As a result, for certain use cases of interest to ORNL, we are in need of an applications engineer capable of generating meshes and accurate solutions to complex problems.

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. With a dedicated and creative staff of over 6,000 people, ORNL's decadal 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.

What does our ideal teammate look like and what will you be doing?

In this role, you will be responsible for working with subject matter experts to understand and refine new CFD application techniques and then lead the implementation of these techniques into large-scale, automatic computational work-flows with particular attention paid to computational accuracy. It is expected that there will be an initial focus on higher-order conformal mesh generation techniques for applications requiring boundary-layer (i.e., large aspect ratio) meshing capabilities. Additional application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization.

In addition to software application, you will also engage with the broader community of industry, national labs, and academic partners to understand and advance the state-of-the-art in CFD applications and work-flows.

Basic Qualifications:

• An MS in mathematics, computer science, engineering or a related field with 4 years of relevant experience or a PhD in mathematics, computer science, engineering.

Preferred Qualifications:

The following are a list of preferred qualifications, but not required.

• Experience with mesh generation/CFD applications for unstructured meshes and/or finite element methods
• Experience with parallel computing environments, HPC in a Linux environment
• Familiarity with C++ and GPU programming
• Experience with modern software development practices to ensure code quality
• Experience with computational geometry
• Excellent written and oral communication skills
• Ability to work with a measure of autonomy and a willingness to participate creatively in a collaborative team environment

Special Requirements:

• This position requires access to technology that is subject to export control requirements and to sensitive projects. Successful candidates must be qualified for such access without an export control license.
• This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse program (WSAP) testing designed position which requires passing a pre-placement drug test and participation in an ongoing random drug testing program in which employees are subject to being randomly selected for testing. The occupant of this position will also be subject to an ongoing requirement to report to ORNL any drug-related arrest or conviction or receipt of a positive drug test result.

Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Pet Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

#LI-KC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.