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Computational Engineer

Associate | Full-time
Engineering | livermore, CA | 05/23/2023

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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.

Pay Range

$123,960.00 - $190,932.00  Annually

$123,960.00  - $159,168.00  Annually for the SES.2 level
$148,650.00  - $190,932.00  Annually for the SES.3 level

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.

Job Description

We have an opening for a Computational Engineer to perform multi-physics code development and analysis. Development work will include model development and implementation for production-scale high-performance computing simulation codes, including model verification and validation. Analysis work will focus on utilizing cutting-edge multi-physics codes and high-performance computing to solve national security problems across the Laboratory’s mission space for a variety of sponsors. You will work as a member of a large multidisciplinary team with a broad spectrum of physicists, engineers, computer scientists, and mathematicians. 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 production-level high-performance multi-physics simulation software for use on massively parallel computers.
  • Perform analysis of complex mechanical systems subject to dynamic structural and thermal loads with emphasis on high performance computational techniques.
  • Document methods and implementation in informal and formal reports and presentations.
  • Work to fulfill deliverables, sharing relevant knowledge, analysis, and recommendations in collaboration with internal and external scientists, engineers, mathematicians, and computer scientists.
  • Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level

  • Propose and develop advanced code capabilities designed for high-performance computing in support of Laboratory mission objectives.
  • Independently 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.
  • Interact frequently and provide formal presentations to Laboratory managers and external collaborators and sponsors.
  • Lead and mentor student fellows and summer student researchers.


  • Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
  • Master’s degree in engineering, physics, computational science, applied math, or related field or equivalent level of education and related experience.
  • Proficient programming ability in C, C++, FORTRAN, Python, Perl, or similar languages.
  • Comprehensive knowledge and broad relevant experience in computational structural mechanics, material failure, dynamics, heat transfer, thermo-mechanical response of systems, applied implicit methods, or finite element methods for solid mechanics.
  • Proficient interpersonal, written, and verbal communication skills necessary to effectively present and explain technical information.
  • Ability to collaborate 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 higher-level programming languages such as C/C++, FORTRAN, Python, Perl, or similar languages.
  • Advanced verbal and written communication skills necessary to author technical and scientific reports, publications, invited papers, and to deliver scientific presentations and provide advice to management. Advanced interpersonal skills and ability to lead a multi-disciplinary team.

Qualifications We Desire

  • PhD in engineering, physics, computational science, applied math, or related field.
  • Experience conducting computational analysis in a multi-physics context.
  • Analysis experience with software on massively parallel systems.
  • Experience in the design of algorithms, development of software, and their implementation and verification.
  • Experience collaborating with experimentalists for model validation.

Additional Information

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

Position Information

This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

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 applicant(s) 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.

Beware of Fraudulent Job Postings. LLNL’s hiring practices:

  • Never requires job applicants to pay an application/training fee or submit personal documents like bank account details, passport number, Social Security number, tax forms or credit card information as part of the application process. 
  • For interviews and to be granted access to a Federal facility, a LLNL employee will contact you directly to collect visa, passport number, and/or Social Security number.  To vet the authenticity of the employee please have them provide you their name and phone number and verify at
  • Involves at least one interview (virtual or in-person) and never interviews job applicants through chat platforms such as Google Hangouts, or via correspondence through text and instant messaging systems.
  • Only sends email communications to job applicants from domain “” or via their applicant tracking system, [email protected]. Occasionally LLNL uses third-party vendors that will contact you about job opportunities.  If a recruiter contacts you to apply, you will always be directed to our career page to apply through our career site.
  • Encourages all applicants to visit LLNL’s careers page at if they saw the job posting on another site prior to applying to ensure the job posting is accurate and valid.

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.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

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. 

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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