Resilient Infrastructure Systems Analyst

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.
• Masters 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.

Additional Information :

#LI-Hybrid

Position Information

This is a Career Indefinite position open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory

• Included in 2025 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  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

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  Remote Work :

  No

  
  

  Employment Type :

  Full-time