Infrastructure Asset Security Systems Analyst
Engineering | livermore, CA | 03/15/2023
Job Code: SES.1 Science & Engineering MTS 1 / SES.2 Science & Engineering MTS 2
Position Type: Career Indefinite
Security Clearance: Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable
Join us and make YOUR mark on the World!
Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory’s mission.
$103,290.00 - $139,128.00 Annually for the SES.1 level
$123,960.00 - $166,992.00 Annually for the SES.2 level
Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.
We are seeking highly qualified Engineers to join our interdisciplinary team of Systems Analysts supporting a variety of application areas such as Critical Infrastructure Security and Resilience, Intelligence Analysis, and Cyber Security. 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. 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 the SES.1 or SES.2 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
- Contribute solutions to complex problems requiring advanced analysis and the creative use of innovative methods by collaborating with scientists and researchers across a variety of technical disciplines.
- Contribute to defining, modeling, and analyzing threat scenarios and security architectures for critical infrastructure assets using commercially available and LLNL-developed modeling and simulation tools.
- Contribute to running and tracking large numbers of scenarios in parallel to explore parameter ranges, threats, and security measure packages of interest.
- Provide technical recommendations to internal stakeholders on custom modifications to LLNL-developed modeling and simulation tools to extend applicability and use.
- Contribute to identifying and developing structured, reusable datasets on threats and critical infrastructure assets and protection systems to feed modeling and simulation tools.
- Provide decision insight to stakeholders derived from simulation results and an understanding of the complex context.
- Document modeling and simulation methods, assumptions, results, and insights in reports and presentations.
- Communicate complex technical concepts to internal stakeholders in a concise effective way.
- Perform other duties as assigned.
Additional job responsibilities, at the SES.2 level
- Balance multiple projects/tasks and priorities of customers and partners to ensure deadlines are met, while working independently with minimal direction within scope of the assignment.
- Routinely interact with technical contacts at sponsor and partner organizations.
- Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
- Bachelor’s degree in engineering (mechanical, electrical, industrial, systems, or civil), computer sciences (data or information science), operations research, or related fields.
- Knowledge and experience in one or more of the following areas: modeling and simulation, intelligence analysis, infrastructure protection and security, or other related discipline.
- Experience with one or more of the following programming tools: Python, Simulink, MATLAB, Java, C++, or equivalent.
- Experience with one or more of the following computational disciplines: data analytics, or modeling and simulation, or risk analysis.
- Demonstrated analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
- Verbal and written communication skills necessary to effectively and concisely present, explain, and document complex technical information for internal stakeholders.
Additional qualifications at the SES.2 level
- Comprehensive knowledge and broad experience in the application and/or development of modeling and simulation, risk analysis, data analytics or other analytical tools to evaluate complex systems and inform decisions.
- Comprehensive knowledge and broad experience sourcing and/or developing structured datasets from disparate or limited information.
- Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information to a variety of audiences.
Qualifications We Desire
- Master’s degree in engineering (mechanical, electrical, industrial, or civil), computer sciences (data or information science), operations research, related fields or the equivalent combination of education and related experience.
- Experience with physical security or force-on-force modeling, simulation, and/or exercises in military or law enforcement applications.
- Knowledge and experience in multiple operating systems, including Linux/Unix.
- Experience using custom modeling and simulation tools.
Additional InformationAll your information will be kept confidential according to EEO guidelines.
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?
- Flexible Benefits Package
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
- Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
- Our core beliefs - visit https://www.llnl.gov/diversity/our-values
- Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement
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.
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.
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.