Nuclear Enterprise Systems Analyst

Company DescriptionJoin us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job DescriptionWe have multiple openings for a Nuclear Enterprise Analyst to work in a dynamic and fast-paced environment. You will work with multi-disciplinary teams to deliver software and analytic capabilities on topics of importance to the nuclear enterprise, including infrastructure, workforce, and stockpile modeling and modernization program planning. These positions support the Associate Program Leader for Nuclear Weapons Evaluation and Planning, within the Weapons Infrastructure Program and reports administratively to the System and Policy Analysis Group in the Computational Engineering Division, within the Engineering Directorate.

Depending on your assignment, these positions may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

These positions will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.

You willWork closely with a team of systems analysts, engineers, computer scientists, and program management to design and productionize nuclear enterprise analytics tools, including those for current stockpile modernization programs.

Translate ambiguous sponsor and customer problem statements into clear analytical objectives, success criteria, data requirements, and executable analysis plans.

Support efforts to collect, catalog, and interpret data for use in mathematical models, including population of databases and use of visualization tools.

Develop and apply optimization, simulation, and risk-informed analysis methods, including scenario and sensitivity/uncertainty analyses, to support decision-making under uncertainty.

Contribute to the fulfillment of technical projects and organizational objectives by functioning as an effective team member on multi-disciplinary teams.

Contribute to the development of software tools such as native applications, dashboards, and web-based tools that support systems analysis, operations, nuclear stockpile, infrastructure, and workforce domains.

Participate in the Systems Analysis Group, Nuclear Enterprise Working Group, and engage other team members to share relevant knowledge, opinions, and recommendations.

Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level Build and maintain effective collaborations and working relationships with the National Nuclear Security Administration (NNSA) and Department Of War (DOW) enterprise modeling communities, including assisting in engagement of relevant decision makers.

Lead development of mathematical optimization and simulation models for applications in systems analysis, nuclear stockpile, infrastructure, and workforce domains.

Independently execute and perform quality assurance (QA) complex analyses and post-processing under limited direction, delivering tailored final reports and briefings that translate technical results into actionable decisions for senior sponsors.

QualificationsAbility to secure and maintain a

U.S. DOE

Q-level security clearance which requires U.S. citizenship.

Bachelor's degree in operations research, engineering, physics, applied mathematics, computer science, economics, or a related field, or an equivalent combination of education and related experience.

Comprehensive knowledge and experience in translating ambiguous problem statements into analytical approaches, including defining objectives, success criteria, data needs, and analytical methods.

Comprehensive experience applying analytical skills to research, interpret, analyze, compile, and present technical and business data and information.

Experience with effectively managing concurrent technical tasks with competing priorities and meeting deadlines that are important to project success.

Comprehensive knowledge and experience in performing complex, multi-factor analyses (for example, sensitivity/uncertainty analysis, optimization, scenario analysis, or risk-informed analysis) to support decision-making under uncertainty.

Comprehensive knowledge and experience in developing software applications and performing analysis with either Python, SQL, TypeScript, Go or C++, within Windows or Linux environments.

Proficient written and verbal communication skills to prepare, present, and document technical information to diverse audiences.

Ability to travel off-site for sponsor and customer interaction.

Additional qualifications at the SES.3 level Significant experience managing and/or motivating multidisciplinary teams and collaborating with scientists, engineers, analysts, and project managers across disciplines and/or organizations to achieve project objectives; partnering with other laboratories and/or external organizations as necessary. Advanced experience as a project coordinator and/or principal investigator of projects with competing priorities, loosely defined deliverables, and high visibility.

Demonstrated ability to independently execute analyses, perform post-processing, and deliver tailored reports and final deliverables under limited direction, applying strong analytical, problem-solving, and decision-making skills to solve complex problems.

Qualifications We DesireMaster's degree or PhD in operations research, engineering, physics, applied mathematics, computer science, economics, or a related field, or an equivalent combination of education and related experience.

Broad experience collaborating with the DOE, NNSA and DOW and/or other interagency partners.

Comprehensive knowledge and broad experience in applying AI tools in technical workflows, including evaluation of outputs for correctness, bias/hallucination risk, protection of sensitive information, and integration into repeatable processes. Pay Range$146,340

• $222,564 Annually$146,340
• $185,544 Annually for the SES.2 level$175,530
• $222,564 Annually for the SES.

3 levelThis is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Additional Information#LI-HybridPosition InformationThis is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory?

Included in 2026 Best Places to Work by Glassdoor!

Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (

• depending on project needs)Our values
• visit https://www.

llnl.gov/inclusion/our-values Security ClearanceThis 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 TestExternal 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. Wireless and Medical DevicesPer the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you 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. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisementsPlease be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf Equal Employment OpportunityWe 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.

Reasonable AccommodationOur 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 NoticeThe 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.