Lawrence Livermore National Laboratory
National Security
ModelingandSimulationEngineer
“Modeling and Simulation Engineer at Lawrence Livermore National Laboratory. Skills: Modeling and simulation, Software development in Python, C, C++, Computational mechanics, Engineering analysis workflow development. Code development focusing on a Python modeling environment. Developing methods and tools to streamline the end-to-end engineering analysis workflow”
What You'll Achieve.
Satisfy project deliverables; Contribute to the successful completion project and organizational goals
Industry & Context.
Provide solutions for a diverse range of moderately complex problems
Ability to secure and maintain a U. S. DOE Q-level security clearance, U. S. citizenship, Pass a post-offer, pre-employment drug test, Restrictions with the use and/or possession of mobile devices in Limited Areas, May be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession
What They're Looking For.
Must Have
Ability to secure and maintain a U. S. DOE Q-level security clearance which requires U. S. citizenship., Master’s degree in Mechanical, Aerospace, or Civil Engineering with a focus on structural mechanics and/or solid mechanics, or the equivalent combination of education and related experience., Comprehensive knowledge of and/or applied experience developing software in Python, C, C++, or similar languages., Proficient 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, as well as part of a multidisciplinary team., Ability to independently gather information from manuals and other documentation to build workflow tools to those programs.
Nice to Have
PhD in Mechanical, Aerospace, or Civil Engineering with a focus on structural mechanics and/or solid mechanics, or the equivalent combination of education and related experience., Experience conducting computational analysis in a multi-physics context and with software on massively parallel systems., Experience in development of software including testing, documentation, and user support., Experience using and/or developing agentic workflows using Large Language Models in support of computational engineering analysis.
What You'll Do.
Code development focusing on a Python modeling environment
Developing methods and tools to streamline the end-to-end engineering analysis workflow
Product Lifecycle Management and Simulation Process Data Management platform integration
Simulation postprocessing and visualization
Integration within a multi-agent large language model framework
Development of software tools for managing Finite Element Analysis (FEA) and other numerical modeling workflows
Support to engineering analysts
Integration of engineering analysis tools with other frameworks
Documentation of analyses
and implementation activities and processes
Perform analysis of complex mechanical systems subject to dynamic structural and thermal loads
Exercise independent judgment to determine technical objectives
Provide input on technical issues for specific tasks and projects
Resolve technical and programmatic issues
Contribute to the execution of engineering testing and data analysis
Assist in preparing technical reports
Provide guidance and mentor junior staff
How You'll Work.
Team & Collaboration
Collaborate in a multidisciplinary team environment; Share relevant knowledge, analysis, and recommendations in collaboration with internal and external scientists, engineers, mathematicians, and computer scientists; Interface with other development teams working on tools that support analysis workflows
Communication Scope
Written communication skills; Verbal communication skills; Present technical information
Process & Methodology
Meet schedule and deliverables for multiple concurrent projects with a range of priorities, Reprioritize and change programmatic direction depending on emergent requests and needs
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