LLNL is hiring a

Resilient Infrastructure Systems Analyst - Experienced

Livermore, United States
Full-Time

We are seeking highly qualified engineers to join our interdisciplinary team of Systems Analysts supporting analysis of the resilience of a variety of infrastructure systems to cyber, physical, and natural threats and hazards. You will lead efforts that 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. 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.

In this role you will

  • Leverage your expertise to develop well-defined analytical questions and plans to provide decision insights to stakeholders on complex, challenging, and ambiguous infrastructure resilience problems.
  • Lead teams to develop, evaluate, and apply novel 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 risk cost-benefit of various technology or operational solutions.
  • Lead diverse teams of scientists and researchers from a variety of technical disciplines, such as cybersecurity, physical security, natural hazards, and infrastructure systems.
  • Develop opportunities to operationalize research and development advancements for LLNL national security programs.
  • Communicate complex technical concepts to internal and external stakeholders in a concise and effective way.
  • Serve as point of contact for program managers at sponsor and partner organizations.
  • Perform other duties as assigned.

Additional job responsibilities, at the SES.4 level

  • Leverage deep technical expertise and/or significant experience to develop defensible, innovative, and creative methods of applying tools from established disciplines such as systems engineering, decision analysis, risk analysis, applied statistics and optimization, and other related fields.
  • Develop new work with Federal, State, and commercial sponsors and partners in these areas.
  • Develop multiple diverse, technical teams to execute projects and tasks while balancing priorities of customers and partners to ensure deadlines are met.
  • Lead and manage the work of other analysts.
  • Ability to obtain and maintain a U.S. DOE Q-level security clearance which requires U.S. Citizenship.
  • PhD 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.
  • 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 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.
  • Advanced 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.
  • Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
  • Advanced experience presenting technical concepts to diverse audiences. Proficient verbal, written, and interpersonal communication skills necessary to effectively collaborate in a multi-disciplinary team environment and communicate technical information, document work, and lead the creation of proposals and high-quality research papers.
  • Experience in leading diverse, technical teams to execute projects.
  • Ability to travel off-site for sponsor and customer interaction.

Additional qualifications at the SES.4 level

  • Significant experience with one or more of the following computational disciplines: risk analysis, systems analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design, systems engineering, or other related discipline.
  • Significant experience in defining, scoping, and executing analytical plans to address complex research or programmatic questions.
  • Significant experience effectively managing concurrent technical tasks with competing priorities and implementing advanced research concepts in a multi-disciplinary team environment where commitments and deadlines are critical for program success.
  • Significant experience managing interactions with leadership and building relationships with diverse stakeholders. Significant experience coaching or mentoring staff on project teams.

Qualifications We Desire

  • Significant experience working with the Department of Homeland Security, Department of Energy, Intelligence Community, and/or the Department of Defense.
  • Significant experience leading collaboration across government, research (university, laboratory) and/or commercial (industry) institutions.
  • Significant experience working in design, operations, or modeling of critical infrastructure systems, particularly transportation networks and logistics, chemical processing, water and wastewater systems, communications networks, or interdependencies among these systems.
  • Expertise with modeling and simulation or data analysis using one or more of the following programming tools: Python, Simulink, R, MATLAB, Java, or C++.

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.

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.

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