Lawrence Livermore National Laboratory
Modeling and Simulation Engineer
Lawrence Livermore National Laboratory, Livermore, California, United States, 94551
Overview
We have an opening for a
Modeling and Simulation Engineer
within the Analytical Capability Group (ACG). ACG supports LLNL weapon system design and assessments with modeling and simulation in-house tool development. You will perform code development work focusing on a Python modeling environment (a collection of libraries and applications) that interfaces with multiple engineering solvers and post-processing applications. This will involve developing methods and tools to streamline the end-to-end engineering analysis workflow, which includes Product Lifecycle Management and Simulation Process Data Management platform integration, mesh generation, model preprocessing, job monitoring, simulation postprocessing and visualization, and report generation. This work additionally prepares for integration within a multi-agent large language model framework to accelerate the end-to-end analysis process. This position is in the Computational Engineering Division (CED), within the Engineering Directorate. This position will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below) which will be assigned if hired at the higher level. Responsibilities
Contribute to the development of software tools for managing Finite Element Analysis (FEA) and other numerical modeling workflows including preprocessing, post-processing, and data management. Provide support to engineering analysts, which may include debugging problems, providing alternative solutions, and quickly implementing new features. Participate in the integration of engineering analysis tools with other frameworks supporting LLNL’s Digital Transformation objectives, as well as Artificial Intelligence (AI) or Machine Learning (ML) integration within the end-to-end engineering analysis process. Document analyses, methods, and implementation activities and processes in both informal and formal reports and presentations. Share relevant knowledge, analysis, and recommendations in collaboration with internal and external scientists, engineers, mathematicians, and computer scientists through reviews and working groups. Interface with other development teams working on tools that support analysis workflows. Perform other duties as assigned. Additional job responsibilities at the SES.2 level
Exercise independent judgment to determine technical objectives, criteria, and techniques to execute the appropriate technical approaches, obtain and analyze results, provide solutions for a diverse range of moderately complex problems, and to satisfy project deliverables. Utilize comprehensive engineering knowledge and apply relevant professional experience, broad technical concepts and techniques, and best practices to provide input on technical issues for specific tasks and projects, resolve technical and programmatic issues, and contribute to the successful completion of projects and organizational goals. Coordinate and contribute to the execution of engineering testing and data analysis and assist in preparing technical reports, documentation, and presentations. May provide guidance and mentor student fellows and summer student researchers. Qualifications
Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship. Bachelor’s degree in engineering, computational science, applied math, physics, or related technical field, or the equivalent combination of education and related experience. Demonstrated ability, fundamental knowledge of, and/or applied experience writing programming in Python, C, C++, or similar languages. Fundamental knowledge and/or exposure to and experience in computational structural mechanics, material failure, dynamics, heat transfer, or implicit thermo-mechanical response of systems. Sufficient interpersonal, written, and verbal communication skills necessary to effectively interact and collaborate in a multidisciplinary team environment and to present and explain technical information. Ability to work independently to complete assignments, while adhering to defined practices and procedures. Additional qualifications at the SES.2 level
Comprehensive knowledge, full understanding of, and operational experience in computational mechanics, including modeling and simulation tools. Comprehensive knowledge of, broadly applied experience with, and demonstrated proficient skills writing in one or more programming languages such as Python, C, C++, or similar languages. Demonstrated ability to meet schedule and deliverables for multiple concurrent projects with a range of priorities, and to reprioritize and change programmatic direction depending on emergent requests and needs. Experience preparing and conducting testing and data analysis, as well as performing and completing documentation, tracking, and reporting of action items. Qualifications We Desire
Master’s degree in engineering, computational science, applied math, physics, or related field. Experience conducting computational analysis in a multi-physics context and with software on massively parallel systems. Experience in development of software including testing and documentation. Experience with custom workflows using Large Language Models. Experience with object oriented programming (OOP). Experience in user support. Position Information
This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory?
Included in 2025 Best Places to Work by Glassdoor! Flexible Benefits Package 401(k) Relocation Assistance Education Reimbursement Program Flexible schedules (depending on project needs) Our values - visit the LLNL inclusion page for more information Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test
External applicants selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal law applies to us as a Federal Contractor. Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
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We have an opening for a
Modeling and Simulation Engineer
within the Analytical Capability Group (ACG). ACG supports LLNL weapon system design and assessments with modeling and simulation in-house tool development. You will perform code development work focusing on a Python modeling environment (a collection of libraries and applications) that interfaces with multiple engineering solvers and post-processing applications. This will involve developing methods and tools to streamline the end-to-end engineering analysis workflow, which includes Product Lifecycle Management and Simulation Process Data Management platform integration, mesh generation, model preprocessing, job monitoring, simulation postprocessing and visualization, and report generation. This work additionally prepares for integration within a multi-agent large language model framework to accelerate the end-to-end analysis process. This position is in the Computational Engineering Division (CED), within the Engineering Directorate. This position will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below) which will be assigned if hired at the higher level. Responsibilities
Contribute to the development of software tools for managing Finite Element Analysis (FEA) and other numerical modeling workflows including preprocessing, post-processing, and data management. Provide support to engineering analysts, which may include debugging problems, providing alternative solutions, and quickly implementing new features. Participate in the integration of engineering analysis tools with other frameworks supporting LLNL’s Digital Transformation objectives, as well as Artificial Intelligence (AI) or Machine Learning (ML) integration within the end-to-end engineering analysis process. Document analyses, methods, and implementation activities and processes in both informal and formal reports and presentations. Share relevant knowledge, analysis, and recommendations in collaboration with internal and external scientists, engineers, mathematicians, and computer scientists through reviews and working groups. Interface with other development teams working on tools that support analysis workflows. Perform other duties as assigned. Additional job responsibilities at the SES.2 level
Exercise independent judgment to determine technical objectives, criteria, and techniques to execute the appropriate technical approaches, obtain and analyze results, provide solutions for a diverse range of moderately complex problems, and to satisfy project deliverables. Utilize comprehensive engineering knowledge and apply relevant professional experience, broad technical concepts and techniques, and best practices to provide input on technical issues for specific tasks and projects, resolve technical and programmatic issues, and contribute to the successful completion of projects and organizational goals. Coordinate and contribute to the execution of engineering testing and data analysis and assist in preparing technical reports, documentation, and presentations. May provide guidance and mentor student fellows and summer student researchers. Qualifications
Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship. Bachelor’s degree in engineering, computational science, applied math, physics, or related technical field, or the equivalent combination of education and related experience. Demonstrated ability, fundamental knowledge of, and/or applied experience writing programming in Python, C, C++, or similar languages. Fundamental knowledge and/or exposure to and experience in computational structural mechanics, material failure, dynamics, heat transfer, or implicit thermo-mechanical response of systems. Sufficient interpersonal, written, and verbal communication skills necessary to effectively interact and collaborate in a multidisciplinary team environment and to present and explain technical information. Ability to work independently to complete assignments, while adhering to defined practices and procedures. Additional qualifications at the SES.2 level
Comprehensive knowledge, full understanding of, and operational experience in computational mechanics, including modeling and simulation tools. Comprehensive knowledge of, broadly applied experience with, and demonstrated proficient skills writing in one or more programming languages such as Python, C, C++, or similar languages. Demonstrated ability to meet schedule and deliverables for multiple concurrent projects with a range of priorities, and to reprioritize and change programmatic direction depending on emergent requests and needs. Experience preparing and conducting testing and data analysis, as well as performing and completing documentation, tracking, and reporting of action items. Qualifications We Desire
Master’s degree in engineering, computational science, applied math, physics, or related field. Experience conducting computational analysis in a multi-physics context and with software on massively parallel systems. Experience in development of software including testing and documentation. Experience with custom workflows using Large Language Models. Experience with object oriented programming (OOP). Experience in user support. Position Information
This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory?
Included in 2025 Best Places to Work by Glassdoor! Flexible Benefits Package 401(k) Relocation Assistance Education Reimbursement Program Flexible schedules (depending on project needs) Our values - visit the LLNL inclusion page for more information Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. Pre-Employment Drug Test
External applicants selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal law applies to us as a Federal Contractor. Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
#J-18808-Ljbffr