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Resilient Infrastructure Systems Analyst
Engineering | livermore, CA | 01/11/2024
Job Code: SES.2 Science & Engineering MTS 2 / SES.3 Science & Engineering MTS 3
Organization: Engineering
Position Type: Career Indefinite
Security Clearance: Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable
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 important for continued success of the Laboratory’s mission.
Pay Range
$132,810.00 - $170,556.00 Annually for the SES.2 level
$159,330.00 - $204,636.00 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 are seeking 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 the SES.2 or SES.3 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
- Develop well-defined analytical questions and plans to provide decision insights to stakeholders on complex, challenging, and ambiguous infrastructure resilience problems.
- Develop 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.
- Develop, evaluate, and apply physical and computational simulations to gain insight into complex infrastructure systems.
- Develop innovative and creative methods that leverage tools from a breadth of established disciplines such as systems engineering, decision analysis, risk analysis, applied statistics and optimization, and other related fields.
- Collaborate 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 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
- Lead multiple diverse, technical teams in executing projects and tasks while balancing priorities of customers and partners to ensure deadlines are met.
- Lead other LLNL scientists and engineers to operationalize research and development advancements for LLNL national security programs.
- Serve as point of contact for program managers at sponsor and partner organizations.
Qualifications
- Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
- Ph.D. degree in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations research, or related fields, or the equivalent combination of education and related experience.
- Comprehensive knowledge and broad experience in developing models and/or frameworks to characterize and assess 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 broad experience in defining research questions and scoping defensible methods and approaches.
- Broad experience presenting technical concepts to diverse audiences. 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.
- Comprehensive knowledge and broad 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.
- Broadly demonstrated analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
Additional qualifications at the SES.3 level
- Expertise in one or more of the following areas: infrastructure systems, energy systems, cyber security, physical security, intelligence analysis, or other related discipline.
- Expertise in the application and development in 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.
- Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
- Advanced expertise in leading multi-disciplinary technical teams to execute 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++.
Additional Information
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?
- Included in 2024 Best Places to Work by Glassdoor!
- 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.
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.
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.
