Company Description
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.
Job Description
We have an opening for an Academic Graduate Appointee. The successful candidate is expected to conduct research, analyze data, support technical development, and collaborate effectively on multidisciplinary teams to advance scientific and engineering objectives. Focus area(s) may include infrastructure resilience, power systems, or AI/ML or software development. This position is in the GS-CAD/Cyber Infrastructure Resilience group in the Computing organization at Lawrence Livermore National Laboratory.
In this role you will
- Conduct research in assigned area under general direction and supervision.
- Gather and analyze data and information in support of scientific research.
- Perform technical assignments of a basic degree of complexity and provide advanced technical support to scientists in scientific research and development projects.
- Collaborate with other internal and external research groups at LLNL and in some cases at other institutions.
- Present work through presentations.
- Contribute to the fulfillment of technical projects and organizational objectives functioning as an effective team member on multi-disciplinary teams.
- Engage other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team.
- Perform other duties as assigned.
Qualifications
- Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See the additional information section below for details.
- Bachelor’s degree in computer science, data science, applied math, or a related field.
- Experience with version control, object-oriented design principles, and software development lifecycle leveraging languages such as python, C/C++, or Java.
- Experience with AI/ML, operational technology, internet of things, or control systems is a plus.
- Ability to effectively manage concurrent technical tasks with competing priorities and meet deadlines that are important to project success.
- Ability to approach difficult problems with enthusiasm and creativity.
- Effective interpersonal skills necessary to interact with all levels of personnel and ability to work independently in a multi-disciplinary team environment.
- Proficient written and verbal communication skills to prepare, present, and document technical information.
Pay Range
$10,215 Monthly
Pay set by hiring organization.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Position Information
This is a one-year Academic Graduate Appointee, open to those who have been awarded a degree at the time of the employment offer.
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
None required. However, this position involves U.S. Export Control; this work must be performed by a U.S. person (U.S. citizen, U.S. lawful permanent resident, U.S. national, or U.S. protected individual (e.g., refugee, asylee)).
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. (This process does not apply to foreign nationals.)
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.
