Resilient Infrastructure Operational Systems Analyst

LLNL; Livermore (CA); Hybrid; USD 146,000 - 223,000; Full time

Job summary

Lawrence Livermore National Laboratory (LLNL) seeks an experienced Resilient Infrastructure Operational Systems Analyst to advance resilience analyses for critical infrastructure against cyber, physical, and supply-chain threats. You will work within the Computational Engineering Division to develop models and run simulations in support of national security missions.

Roles require advanced degrees and the ability to obtain a DOE Q clearance.

Qualifications

• PhD in engineering (mechanical, electrical, industrial, chemical, civil, or systems) or related fields, or equivalent experience.
• Master’s degree in engineering, computer sciences, or operations research, or equivalent experience.
• Experience/knowledge in cybersecurity principles and practices, SCADA/industrial control systems, or OT environments.
• Experience building models and/or frameworks to characterize complex infrastructure systems and risks.

Responsibilities

• Develop analytical models, tools, and frameworks to assess infrastructure resilience against cyber, physical, and supply chain threats.
• Formulate analytical questions and plans to provide decision insights to stakeholders.
• Participate in physical and computational simulations to understand complex infrastructure systems.
• Collaborate across disciplines and communicate options and trade-offs to support customer missions.
• Engage with sponsor and partner technical contacts and contribute to deliverables with defined timelines.
• Travel occasionally to support sponsor and customer interactions.

Skills

Python

Simulink

R

MATLAB

Java

C++

Education

PhD in engineering or related field

Master’s degree in engineering / computer sciences / operations research or related fields

Job description

Resilient Infrastructure Operational Systems Analyst

• Full-time
• Job Code 2: SES.3 Science & Engineering MTS 3
• Employee Referral Bonus: Not applicable
• Job Code 1: SES.2 Science & Engineering MTS 2
• Pre-Employment Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
• Pre-Placement Medical Exam: Not applicable
• Security Clearance: Anticipated DOE Q clearance with Sensitive Compartmented Information access (requires U.S. citizenship and a federal background investigation)

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.

Wehave multiple openings for a Resilient Operational 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 and provide decision insight, communicate options and trade-offs, and facilitate the integration of new technology 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 LLNL's 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 responsibilities (outlined below) will be assigned if hired at the higher level.

In this role, you will

• Contribute to the development of analytical models, tools, and frameworks to characterize and assess key operational infrastructure resilience-related issues, such as infrastructure interdependencies, system-level impacts from intelligent adversary attacks, and risks and cost-benefit of various technology or operational solutions.
• 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.
• Participate in, collaborate on, and contribute to physical and computational simulations to gain insight into complex infrastructure systems.
• Contribute to the development of innovative and creative methods that leverage tools from a breadth of established disciplines such as operational technology security, systems engineering, decision analysis, risk analysis, applied statistics and optimization, superintelligence and machine learning, 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.
• 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.3level

• 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.
• 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 science, cybersecurity), operations research, or related fields, or the equivalent combination of education and related experience.
• Comprehensive knowledge and broad experience designing, integrating, operating, or maintaining industrial control systems, or interpreting and analyzing their data, alarms, and trends.
• 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: risk analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design, systems engineering, 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: infrastructure systems, energy systems, cyber security, physical security, operating these systems, or other related disciplines.
• 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 or operation, systems engineering, 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, or the equivalent combination of education and related experience.
• Experience in cybersecurity principles and practices (including cyber threat modeling and cyber risk analysis), SCADA systems, industrial control systems, or operational technology environments.
• 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

$146,340 - $222,564 Annually

$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.

#LI-Hybrid

Position Information

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

Why Lawrence Livermore National Laboratory?

• Included in 2026Best Places to Work by Glassdoor!
• Flexible schedules (*depending on project needs)

This position requires a Department of Energy (DOE) Q-level clearance. Also, you must have the ability to obtain and maintain Sensitive Compartmented Information (SCI) access.If you are selected, we willinitiate a Federal background investigation to determine if youmeet 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 useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.

Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate 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.

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.

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob 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 .