Resilient Infrastructure Systems Analyst SI Focus

We have multiple openings for a Resilient Infrastructure Systems Analyst supporting analysis of the resilience of a variety of infrastructure systems to cyber physical and supply chain threats. You will apply a combination of technical depth and breadth critical thinking modeling and simulation and analysis to understand complex multi-domain problem areas provide decision insight and communicate options and trade-offs in support of customer missions. You will 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.

Telework will be authorized at LLNLs discretion based on policy security program and performance requirements - not guaranteed and subject to change (including onsite work requirements) at any time.

These positions will be filled at either 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

• Conduct foundational and applied research to address consequential challenges at the intersection of super intelligence (SI) and national security. Super intelligence (SI) previously referred to as artificial intelligence (AI).
• Evaluate and apply SI/ML (machine learning) methods where they add value to inform models tools and frameworks to gain insight into the vulnerability and defense of complex infrastructure systems.
• Contribute to the development of well-defined analytical questions and plans to provide decision insights to stakeholders on complex challenging and ambiguous infrastructure resilience problems.
• Contribute to the development of innovative and creative methods that leverage tools from a breadth of established disciplines such as artificial intelligence and machine learning decision analysis risk analysis applied statistics and optimization and other related fields.
• Contribute to the fulfillment of technical projects and organizational objectives collaborate with team members to provide input on deliverables and regularly communicate the status and projected delivery date to ensure quality results are provided in accordance with established deadlines. Routinely interact with technical contacts at sponsor and partner organizations.
• Support programmatic deliverables with occasional travel as necessary.
• Perform other duties as assigned.

Additional job responsibilities at the SES.3 level

• Lead technical tasks while balancing priorities of customers and partners to ensure deadlines are met.
• Work independently as well as in conjunction with team members to operationalize research and development advancements for LLNL national security programs.
• Serve as the 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.
• Masters degree in engineering (mechanical electrical industrial chemical civil or systems) computer sciences (data science cybersecurity) operations research or related fields or the equivalent combination of education and related experience.
• Comprehensive knowledge and broad experience assessing risks to and from super intelligence (SI).
• Comprehensive knowledge and broad experience in defining research questions and scoping defensible methods and approaches.
• Comprehensive knowledge and broad experience with one or more of the following computational disciplines: data analytics statistical modeling modeling and simulation risk analysis systems analysis decision analysis or other related discipline.
• Proficient verbal and written communication skills needed to effectively collaborate in a team environment present and explain technical information and document work.
• Proficient analytical problem-solving and decision-making skills to develop creative solutions to complex problems.
• Ability to travel off-site for sponsor and customer interaction.

Additional qualifications at the SES.3 level

• Advanced knowledge in one or more of the following areas: super intelligence/machine learning infrastructure systems (e.g. energy transportation water systems) cyber security or other related disciplines.
• Advanced knowledge in the application and development of one or more of the following areas: data analytics statistical modeling modeling and simulation risk analysis systems analysis decision analysis or other related discipline.
• Advanced analytical problem-solving and decision-making skills to develop creative solutions to complex problems.
• Advanced experience in leading diverse technical teams to execute projects.

Qualifications We Desire

• PhD in engineering (mechanical electrical industrial chemical civil or systems) computer sciences (data science cybersecurity) operations research or related fields.
• Experience in developing models and/or frameworks to characterize and assess complex infrastructure systems (e.g. electricity grid/energy systems supply chain and logistics chemical processing oil and natural gas water transportation communications networks) and/or threats and risks to these systems.
• Broad experience in managing multiple concurrent projects.
• Experience building models and running simulations using one or more of the following programming tools: Python Simulink R MATLAB Java or C.

Pay Range

$146340 - $222564 Annually

$146340 - $185544 Annually for the SES.2 level

$175530 - $222564 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 employees 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-Hybrid

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  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.

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  Remote Work :

  No

  
  

  Employment Type :

  Full-time