Careers at Llnl

We have multiple openings for a Senior Cyber AI Engineer to lead efforts to develop techniques and tools for cybersecurity in support of the defense of critical infrastructure systems and Federal networks. You will lead and support a range of highly complex projects at the intersection of cybersecurity, operational technology, machine learning, and AI, developing and deploying innovative methods to emulate adversarial behaviors to help develop tools used to defend critical U.S. infrastructure and networks. Your expertise will drive the evolution of advanced cyber capabilities, threat analysis, and mitigation strategies for industrial control systems. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate, in support of Global Security’s Energy and Homeland Security (E) program. 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 Lead and support advanced cybersecurity-related research projects leveraging creative and automated methods to identify vulnerabilities, discover malicious behaviors and tools, and advance the state of the art in securing operational technology systems. Collaborate in the development of technical requirements for data collection and adversarial simulation capabilities at LLNL. Analyze and assess novel attacks to uncover TTPs, potential weaknesses, malicious behavior, and potential attack vectors with the aim of creating repeatable workflows to support the program’s mission. Work closely with interdisciplinary project scientists and engineers in the scope, planning, and formulating modeling/simulation efforts for physical, engineering, and computational systems. Develop, implement, validate, and document specialized analysis software tools and models as required and use them to inform understanding and mitigation of threats to operational technology. Identify emerging threats and opportunities for enhancing cybersecurity capabilities, helping shape the technical direction of LLNL’s cybersecurity initiatives. Engage with sponsors and stakeholders to develop new program growth opportunities, contribute to research proposals, and ensure alignment with mission objectives. Drive and execute innovative ideas and approaches to meet sponsor and project needs in a rapidly evolving threat landscape. Mentor and collaborate with team members, utilizing your technical expertise to attract and retain projects, programs, and funding. Perform other duties as assigned. Additional job responsibilities, at the SES.4 level Direct technical tasks for highly complex projects which consistently require the application of creativity and innovation; set broad research/project vision and strategy and influence technical direction for Laboratory and others wielding extensive influence, such as senior management, industrial partners, and policy makers. Provide highly innovative solutions to abstract complex problems/ideas, convert them into useable algorithms/software modules, and provide solutions that require in-depth analysis of multiple factors and the creative use of established methods. Develop new ideas, modify approaches, and redefine requirements that significantly impact major Laboratory programs, set high-level goals, and contribute to the revolutionary advancement of knowledge. Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship. Bachelor's degree in cybersecurity, computer science, information technology, computer engineering, or related technical field or the equivalent combination of education and related experience. Advanced experience leading cybersecurity and/or applied AI research efforts. Advanced experience with building systems with AI tool pipelines and frameworks. Experience in malware analysis, network analysis, host forensics or some combination of these skill areas and related tools. Ability to communicate technical information across multi-disciplinary teams and to non-cyber experts, advising policy management, and applying interpersonal skills to collaborate effectively in a team environment. Advanced knowledge of state-of-the-art technologies in both AI and cybersecurity. Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems. Ability to effectively manage concurrent technical tasks with competing priorities, along with the demonstrated ability to approach difficult problems with enthusiasm and creativity and to effectively change focus when necessary. Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information to multi-disciplinary teams and non-cyber experts and advise senior management and/or external sponsors and proficient interpersonal skills. Additional qualifications at the SES.4 level Highly advanced project leadership experience and ability to apply, lead and develop cutting-edge principles and research, working independently while effectively managing concurrent technical tasks with competing priorities. Advanced experience creating technical direction and vision, writing research proposals, and/or securing sponsor funding. Significant experience in and knowledge of at least one of the following subject areas: network protocol analysis, cybersecurity data science, reverse engineering, and/or operational technology implementation. Highly advanced knowledge and experience in developing and applying advanced statistical/machine learning models and/or LLM tooling. Qualifications We Desire Ability to engage in creative and competitive proposal processes and leverage sponsor relationships to secure new funding. Master’s degree or PhD with significant focus in cybersecurity, computer science, computer engineering, or data science/machine learning. Knowledge of one or more of the following disciplines: embedded systems, scientific data analysis, systems programming, software engineering, agentic frameworks, and high-performance computing. Knowledge of, and experience with, one or more of the following machine learning techniques: data science, diffusion models, time series analysis, deep learning, and large language models. Experience with industrial control systems software and hardware. Previous experience working Department of Energy, Department of Homeland Security, Department of War, utilities, manufacturing, or a cybersecurity firm. Pay Range $175,530 - $267,060 Annually $175,530 - $222,564 Annually for the SES.3 level $210,630 - $267,060 Annually for the SES.4 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-Onsite 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 https://www.llnl.gov/inclusion/our-values Security Clearance 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 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. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate 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. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf 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. 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. 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 .

Positions will close to applicants on January 15, 2027. Computing mentors will have until February 5, 2027 to make their Summer selections. Internship Dates: May 17, 2027 - August 6, 2027 May 24, 2027 - August 13, 2027 June 14, 2027 - September 3, 2027 June 21, 2027 - September 10, 2027 We have multiple openings for our Summer DevOps Internship Program . These positions are for undergraduate students who will be given the opportunity to engage in practical research to further their educational goals. Selected interns will play a key role in supporting DevOps and platform engineering projects involving containerization, CI/CD automation, cloud-native application deployment, Kubernetes, Git version control, and software development. Interns may contribute to projects involving large language model deployment and testing, web services, application containerization, infrastructure automation, and production software operations . Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week. You will Learn and apply fundamentals of Git version control, containerization, CI/CD pipeline development, and Kubernetes-based application deployment. Contribute to real-world DevOps and platform engineering projects, including web services, infrastructure automation, and production software operations. Assist with deploying and testing large language models and persistent data services. Develop or enhance automation tools, deployment workflows, monitoring practices, and operational documentation. Participate in code reviews, testing, documentation, and other software development lifecycle activities. Participate in research planning and evaluation discussions. Attend relevant seminars (at least one per week). Present work through presentations and/or poster sessions. Perform other duties as assigned. Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details. Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in Computer Science, Mathematics, Data Science, Machine Learning, Cybersecurity, or other related STEM fields. If you are starting a graduate degree program in Fall 2027, you must apply for the Computing Scholar Graduate position (Posting code: REF8773S). Proven ability to adapt and thrive in challenging situations, demonstrating resilience and problem-solving skills to achieve goals while overcoming setbacks. Ability to apply basic computational science and/or mathematical principles to solve technical problems. Demonstrated effective communication skills. Ability to present and communicate concepts and ideas. Experience working with personal computers and familiarity with Word, Excel and PowerPoint. Ability to work in a team environment. Age 18 or older at the start of the internship. Must have GPA of 3.0 or higher. Pay Range $23.26 - $31.62 Hourly for the 705.1 level $26.22 - $33.38 Hourly for the 714.0 level This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year. All your information will be kept confidential according to EEO guidelines. Why Lawrence Livermore National Laboratory? Included in 2026 Best Places to Work by Glassdoor! Holiday Pay Sick leave accrual Individual 401(k) contributions Our values - visit https://www.llnl.gov/inclusion/our-values Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. 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 use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate 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. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf 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. 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. 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 .

We have an opening for Computerized Maintenance Management System (CMMS) Software Developer. You will contribute to a broad spectrum of site operations across the Laboratory by developing, configuring, integrating, and supporting CMMS capabilities and data analysis tools. The Laboratory’s current CMMS environment is an on-premises implementation of Octave EAM, formerly known as HxGN EAM. You will develop operational system applications while working with members of a dynamic, multidisciplinary team. This position is in the Enterprise Application Services (EAS) Division within the Computing Directorate, in support of the LivIT Program. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. This position will be filled at either the SES.2 or SES.3 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 Define, design, configure, and implement CMMS modules and functionality in collaboration with project team members, consultants, and business stakeholders. Develop and maintain moderately complex to complex CMMS workflows, integrations, interfaces, and supporting software. Work primarily within the Laboratory’s on-premises Octave EAM environment, formerly known as HxGN EAM. Integrate the CMMS with external systems and enterprise applications using established interfaces, standards, and development practices. Migrate and transform data from legacy systems into the CMMS. Analyze and resolve operational issues involving CMMS functionality, integrations, data, and system interfaces. Complete technical reviews, support code migration, and provide technical artifacts for an internal knowledge base. Work under limited direction, exercising independent judgment in selecting methods and techniques while collaborating within a multidisciplinary team. Perform other duties as assigned. Additional job responsibilities at the SES.3 Level Design and implement complex CMMS integrations with third-party software packages and enterprise systems. Independently develop complex software solutions to solve abstract CMMS, data, integration, and operational problems. Determine technical approaches, evaluate alternatives, and apply innovative methods and technologies to complex CMMS and enterprise-application projects. Provide technical leadership and guidance to project team members for complex enhancements, integrations, and modernization effort to the Laboratory’s on-premises Octave EAM implementation. Serve as a primary technical contact for assigned CMMS projects, coordinating with customers, vendors, and stakeholders across organizational boundaries. Mentor less-experienced personnel and contribute to technical standards, practices, and reusable solution patterns. Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship. Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or the equivalent combination of education and related experience. Broad technical skills developing, configuring, integrating, or supporting commercial off-the-shelf computerized maintenance management systems (CMMS). Experience with Octave EAM, formerly HxGN EAM, is applicable but not required. Proficient with one or more technologies commonly used to extend or integrate CMMS platforms, such as Oracle SQL, PL/SQL, JavaScript, web services, APIs, integration middleware, or comparable technologies. Proficient interpersonal skills necessary to interact with project team members, customers, and stakeholders while working under limited direction in a multi-disciplinary team. Proficient written and verbal communication skills necessary to prepare, present, and document technical information. Additional Qualifications at the SES.3 Level Significant experience implementing complex database, integration, and software solutions in support of CMMS or enterprise applications, including Oracle SQL and PL/SQL. Advanced experience applying effective analytical and problem-solving skills to moderately complex problems, such as identifying data integrity issues, system errors, integration failures, and performance issues. Significant experience developing business intelligence reports using MicroStrategy, IBM Cognos, or a similar business intelligence software package. Advanced experience providing technical leadership for CMMS implementations, enhancements, integrations, or modernization efforts. Demonstrated ability to independently determine technical approaches, lead work through project milestones, and provide technical guidance to others Qualifications We Desire Experience with Octave EAM, formerly known as HxGN EAM, particularly in an on-premises environment. Experience tuning Oracle SQL queries and diagnosing database or application performance issues. Experience with CMMS asset management, preventive maintenance, work management, inventory, procurement, or related maintenance operations. Experience with CMMS configuration, workflows, reporting, security, system administration, data migration, or application support. Experience with software development and configuration management tools such as Atlassian JIRA, Confluence, Bitbucket, or similar technologies. Pay Range $146,340 - $222,564 Annually $146,340 - $185,544 Annually for SES.2 $175,530 - $222,564 Annually for SES.3 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 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 https://www.llnl.gov/inclusion/our-values Security 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. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate 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. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf 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. 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. 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 .

We have an opening for a Cloud and Application Infrastructure Systems Engineer . You will architect, implement, and administer the cloud and application infrastructure required to support enterprise applications across the Laboratory’s business services and programmatic missions. This position is in the Enterprise Infrastructure Services (EIS) Division in the Computing Directorate, supporting the LivIT Program. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. You will Architect and implement highly available application infrastructures required to support enterprise IT service delivery. Leverage systems programming expertise to automate and manage service orchestration, monitoring, configuration management, security, and patch management of application infrastructures and services. Collaborate with customers, IT managers, developers, team members, systems administrators, database administrators, and security administrators to jointly develop highly available application infrastructures & services that meet business & programmatic needs. Manage systems architecture throughout their systems development lifecycles, including risk analysis, capacity planning, highly available systems architecture and design, development, quality assurance, documentation, standards enforcement, implementations and upgrades, security compliance & vulnerability remediation, and performance monitoring. Operationally support application infrastructure technologies (For Example: Java Play, Oracle WebLogic, Apache, Tomcat, IIS, Gitlab, Atlassian, Terraform, Ansible, load balancers, API gateways, Docker, or Kubernetes/AWS EKS), and various enterprise commercial off the shelf (COTs) stacks. Provide superior problem remediation support within the application tier environments in support of negotiated Service Level Agreements (SLA’s). Support the transition of our existing virtualized application infrastructures into containerized services to help drive configuration standardization & agility, CI/CD automation & orchestration, and security enhancement objectives. Provide solutions to complex problems that require in-depth analysis of tangible and intangible factors and the creative use of established and/or innovative methods in architecting and designing application infrastructures and services. Perform other duties as assigned. Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship. Bachelor's degree in Computer Science, Software Engineering, Management Information Systems, or related field, or the equivalent combination of education and related experience. Significant experience implementing and managing application and cloud service infrastructure; including monitoring, operational support, security, and lifecycle management. Advanced experience with systems programming and/or automation tools to create, configure, monitor, and automate the management of complex application infrastructures required to maintain the requisite availability and security posture of deployed services. Significant experience collaborating with customers, IT managers, developers, database administrators, systems administrators, and security administrators to jointly create application infrastructure services that meet business requirements. Advanced experience with public and/or private cloud services, and UNIX and/or Windows O/S administration, security, and performance tuning. Advanced experience managing application infrastructure technologies, such as Java Play, Oracle WebLogic, Apache, Tomcat, IIS, load balancers, API gateways, DockerEE/AWS EKS, or various enterprise commercial off the shelf (COTs) stacks. Significant experience architecting and managing application and cloud service infrastructures; including implementation, monitoring, operational support, security, and lifecycle management. Advanced communication, facilitation, and collaboration skills necessary to effectively present, explain, and advise senior management and/or external sponsors. Qualifications We Desire Experience with observability platforms such as Datadog, Dynatrace, AppDynamics, etc. Experience leveraging Splunk or equivalent SIEM environment to operationally manage application infrastructure services. Experience working in a compliance-driven and secure environment, as well as project management experience with large, enterprise COTs application implementations. Pay Range $175,530 - $222,564 Annually 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 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 https://www.llnl.gov/inclusion/our-values Security 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. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate 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. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf 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. 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. 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 .