Computational Engineer

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 - $166,992.00 Annually for the SES.2 level

$148,650.00 - $200,328.00 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 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, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
• Our core beliefs - visit https://www.llnl.gov/diversity/our-values
• Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

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.

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.