Resilient Infrastructure Systems Jobs (NOW HIRING)

Company Description
Join 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 Description
We have multiple openings for highly qualified engineers to join our interdisciplinary team of Infrastructure System Resilience Analysts supporting analysis of the resilience of a variety of infrastructure systems to cyber, physical, and natural threats and hazards. You will apply a combination of technical depth and breadth, critical thinking, modeling and simulation, and analysis to understand complex, multi-domain problem areas and provide decision insight, communicate options and trade-offs, and facilitate the integration of new technology in support of customer missions. Resilient Infrastructure Systems Analysts often serve to integrate across research and development teams and work directly with operational organizations. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.
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 will

• Contribute to and actively participate in the conception, development, implementation, execution, and documentation of well-defined analytical questions and plans to provide decision insights to stakeholders on challenging and ambiguous infrastructure resilience problems of moderate complexity.
• Participate in and contribute to the development of analytical models, tools, and frameworks to characterize and assess key infrastructure resilience-related issues, such as infrastructure interdependencies, system-level impacts from natural hazards and intelligent adversary attacks, or risks and cost-benefit of various technology or operational solutions.
• Support team members in the development, evaluation, and application of physical and computational simulations to gain insight into moderately complex infrastructure systems.
• Utilize broad and comprehensive knowledge and leverage tools from established disciplines such as systems engineering, decision analysis, risk analysis, applied statistics and optimization, or other related fields to contribute to and actively participate in the development of innovative and creative methodologies.
• Collaborate and share relevant knowledge, analysis, and recommendations with scientists and researchers across a variety of technical disciplines, such as cybersecurity, physical security, natural hazards, and infrastructure systems.
• Balance multiple projects/tasks and priorities of customers and partners to ensure deadlines are met, while working independently with minimal direction within the scope of the assignment.
• Communicate moderately complex technical concepts to stakeholders in a concise and effective way.
• Routinely interact with technical contacts at sponsor and partner organizations.
• Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level

• Provide technical leadership and guidance to multiple diverse, technical teams of LLNL scientists and engineers to operationalize research and development advancements for LLNL national security programs, while executing projects and tasks and balancing priorities of customers and partners to ensure deadlines are met.
• Independently determine technical objectives and criteria to satisfy project deliverables and execute the appropriate technical approaches.
• Serve as the primary technical point of contact for program managers at sponsor and partner organizations by sharing relevant advanced level knowledge, providing opinions and recommendations on methodologies, and exerting influence as needed to fulfill deliverables and best meet sponsor needs.

Qualifications

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• Master's degree in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations research, or related technical field, or the equivalent combination of education and related experience.
• Comprehensive knowledge and experience in developing models and/or frameworks to characterize and assess moderately complex infrastructure systems (e.g., electricity grid, transportation networks, supply chain and logistics, chemical processing, oil and natural gas transmission and distribution, communications networks, structural systems) and/or threats and risks to these systems.
• Comprehensive knowledge and experience with one or more of the following computational disciplines: risk analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design, systems engineering, or other related discipline.
• Demonstrated experience and comprehensive knowledge in developing, defining, and applying research questions and scoping defensible methods and approaches.
• Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and author products targeted to a variety of stakeholders.
• Demonstrated analytical, problem-solving, and decision-making skills to effectively develop creative solutions to moderately complex problems.
• Ability to travel off-site for sponsor and customer interactions.

Additional qualifications at the SES.3 level

• Ph.D. in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations research, or related technical field, or the equivalent combination of education and related experience.
• Advanced level knowledge in one or more of the following areas: infrastructure systems, energy systems, cyber security, physical security, intelligence analysis, or other related discipline.
• Significant experience and advanced knowledge in the application and development of one or more of the following areas: risk analysis, systems analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design, systems engineering, or other related discipline.
• Ability to independently develop and execute complex analyses and to prepare and finalize tailored reports.
• Significant leadership skills and experience and demonstrated ability to exercise independent judgment to effectively manage diverse technical teams in executing projects.

Qualifications We Desire

• Comprehensive knowledge and broad experience in design, operations, or modeling of infrastructure systems, particularly transportation networks and logistics, chemical processing, water and wastewater systems, communications networks, or interdependencies among these systems.
• Broad experience in managing multiple concurrent projects.
• Comprehensive knowledge and broad experience building models and running simulations using one or more of the following programming tools: Python, Simulink, R, MATLAB, Java or C++.

Pay Range
$146,340 - $185,544 Annually for the SES.2 level
$175,530 - $222,564 Annually for the SES.3 level
This 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-Onsite
Position Information
This 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 Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit https://www.llnl.gov/inclusion/our-values

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.
Wireless and Medical Devices
Per 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 advertisements
Please 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 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.
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.
Videos To Watch
https://www.youtube.com/watch?v=ITnv867DReU