Resilient Infrastructure Systems Analyst - SI Focus

LLNL•Livermore, CA

1d•Hybrid

About The Position

Lawrence Livermore National Laboratory has multiple openings for Resilient Infrastructure Systems Analysts supporting analysis of the resilience of infrastructure systems to cyber, physical, and supply chain threats. The role applies technical expertise, critical thinking, modeling and simulation, and analysis to complex, multi-domain problems to provide decision insight and communicate options and trade-offs in support of customer missions. Analysts integrate with research and development teams and work directly with operational organizations. The positions are in the Computational Engineering Division within the Engineering Directorate. Telework may be authorized at LLNL's discretion based on policy, security, program, and performance requirements; it is not guaranteed and may change, including through onsite work requirements. The role conducts foundational and applied research on challenges at the intersection of super intelligence (SI), previously referred to as artificial intelligence (AI), and national security. Analysts evaluate and apply SI/ML methods where they add value, contributing to models, tools, and frameworks that help assess vulnerabilities and defenses of complex infrastructure systems. They help develop analytical questions and plans for stakeholders, create methods drawing on relevant disciplines, contribute to technical projects and deliverables, communicate project status and delivery dates, interact with sponsor and partner technical contacts, and support programmatic deliverables with occasional travel. At the SES.3 level, responsibilities additionally include leading technical tasks while balancing customer and partner priorities, independently or collaboratively operationalizing research and development advancements for LLNL national security programs, and serving as the point of contact for sponsor and partner program managers. Positions are filled at either level based on knowledge and related experience assessed by the hiring team.

Requirements

Ability to secure and maintain a U.S. DOE Q-level security clearance; U.S. citizenship is required for the clearance.
Master’s degree in engineering, computer sciences, operations research, or a related field, or an 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 defining research questions and scoping defensible methods and approaches.
Comprehensive knowledge and broad experience in at least one computational discipline, such as data analytics, statistical modeling, modeling and simulation, risk analysis, systems analysis, or decision analysis.
Proficient verbal and written communication skills to collaborate in a team, 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.
At the SES.3 level, advanced knowledge in at least one of super intelligence/machine learning, infrastructure systems, cybersecurity, or a related discipline.
At the SES.3 level, advanced knowledge in the application and development of at least one of data analytics, statistical modeling, modeling and simulation, risk analysis, systems analysis, decision analysis, or a related discipline.
At the SES.3 level, advanced analytical, problem-solving, and decision-making skills.
At the SES.3 level, advanced experience leading diverse technical teams to execute projects.

Nice To Haves

PhD in engineering, computer sciences, operations research, or a related field.
Experience developing models or frameworks to characterize and assess complex infrastructure systems and/or threats and risks to those systems.
Broad experience managing multiple concurrent projects.
Experience building models and running simulations using Python, Simulink, R, MATLAB, Java, or C++.

Responsibilities

Conduct foundational and applied research addressing challenges at the intersection of super intelligence and national security.
Evaluate and apply SI/ML methods where they add value to models, tools, and frameworks for understanding vulnerabilities and defenses of complex infrastructure systems.
Contribute to well-defined analytical questions and plans that provide stakeholders decision insight on complex and ambiguous infrastructure resilience problems.
Contribute to innovative methods using disciplines such as artificial intelligence and machine learning, decision analysis, risk analysis, applied statistics, and optimization.
Contribute to technical projects and organizational objectives, collaborate on deliverables, and communicate status and projected delivery dates to support quality results and deadlines.
Routinely interact with technical contacts at sponsor and partner organizations.
Support programmatic deliverables with occasional travel as necessary.
Perform other duties as assigned.
At the SES.3 level, lead technical tasks while balancing customer and partner priorities to meet deadlines.
At the SES.3 level, operationalize research and development advancements for LLNL national security programs, independently and with team members.
At the SES.3 level, serve as the point of contact for program managers at sponsor and partner organizations.