Academic Graduate Appointee

Lawrence Livermore National Laboratory • Full-time • Livermore, CA, US • 1d ago

Company Description

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 dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission.

Pay Range

$9,950 Monthly

Job Description

We have an opening for an Academic Graduate Appointee. The successful candidate is expected to build their skills in software development, machine learning, and power systems analysis while contributing high-impact work to fast-moving teams at LLNL build new AI capabilities for power systems. Focus area(s) may include extensible software design, adversarial AI, and power signals analysis. This position is in GS-CAD 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 scientist 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 or master’s degree in computer science or a related field.
Experience with languages such as Python.
Comprehensive knowledge of standard machine learning libraries such as PyTorch and Scikit-Learn.
Experience with power systems analysis, adversarial AI, and development of software products targeting downstream customers of varying skill sets.
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.

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 2025 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.

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