Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people talents ideas experiences and perspectives. This is essential to innovation and creativity for continued success of the Laboratorys mission.

Job Description

We have an opening for a computational engineer within the Advanced Engineering Analysis Groups (AEAG). AEAG supports LLNL weapon system design and assessments with modeling and simulation utilizing custom in-house computational codes. You will perform code development work focused on a Python modeling environment (library) to generate an integrate tool to interface with multiple engineering solvers and post-processingapplications. This will involve developing methods and tools to: streamline the engineering workflow facilitate automation and provide drop-in automated data extraction. This work prepares for a planned Artificial Intelligence (AI) driven virtual design assistant. This position is in the Computational Engineering Division (CED) within the Engineering Directorate.

This position will be filled at eitherlevel based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.

In this roleyou will

Contribute to the development of tools for managing Finite Element Analysis (FEA) and other numerical modeling workflows including preprocessing post-processing and data management.
Provide support to engineering analysts including debugging problems providing alternative solutions and quick feature implementation.
Document methods and implementation 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 analysis of complex mechanical systems subject to dynamic structural and thermal loads with emphasis on high performance computational techniques.
Perform other duties as assigned.

Additional job responsibilities at the SES.3level

Determine technical objectives and criteria to satisfy project deliverables and execute the appropriate technical approaches.
Apply advanced technical knowledge and best practices to guide successful completion of project and organizational goals.
Lead 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.
Masters degree in engineering computational science applied math physics or related field or the equivalent combination of education and related experience.
Ability to program using Python C C++ FORTRAN or similar languages
Comprehensive knowledge and/or relevant experience in computational structural mechanics material failure dynamics heat transfer or implicit thermo-mechanical response of systems.
Proficient interpersonal written and verbal communication skills necessary to effectively present and explain technical information.
Ability to work in a multidisciplinary team environment as well as independently.

Additional qualifications at the SES.3level

Advanced knowledge and significant experience in computational mechanics including significant experience in modeling and simulation tools.
Significant experience with one or more programming languages such as Python C/C++ FORTRAN or similar languages.
Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.

Qualifications We Desire

PhD 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 computational geometry meshing algorithms or graphics research.
Experience with object oriented programing (OOP).
Experience in user support.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Position Information

This is a Career Indefinite position. Lab employees and external candidates may be considered for this position.

Why Lawrence Livermore National Laboratory?

Included in 2022Best Places to Work by Glassdoor!
Work for a premier innovative national Laboratory
Comprehensive Benefits Package
Flexible schedules (*depending on project needs)
Collaborative creative inclusive and fun team environment

Learn more about our company selection process position types and security clearances by visiting our Careersite.

COVID-19 Vaccination Mandate

LLNL demonstrates its commitment to public safety by requiring that all new Laboratory employees be immunized against COVID-19 unless granted an accommodation under applicable state or federal law. This requirement will apply to all new hires including those who will be working on site as well as those who will be teleworking.

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.If you are selected wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. In addition all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.For additional information please see DOE Order 472.2

Pre-Employment Drug Test

External applicant(s) selected for this position will be required to 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.

Equal Employment Opportunity

LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. 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.

If you need assistance and/or a reasonable accommodation during the application or the recruiting process please submit a request via our online form.

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob 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.