Refine Search Clear All


Career Areas

Show More

Experience Level


Employment Type


Location


Organization

Show More

Security Clearance

Keyword Search

Back to open positions

Computational Engineer

Mid-Senior Level | Full-time
Engineering | livermore, CA | 03/14/2022

Apply Now  

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 Laboratory’s 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-processing applications. 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 either level 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 role you 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.3 level

  • 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.
  • Master’s 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.3 level 

  • 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 2022 Best 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 Career site

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, we will initiate a Federal background investigation to determine if you meet 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

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.

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 2022 Best 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 Career site

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, we will initiate a Federal background investigation to determine if you meet 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

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.

Videos To Watch