Academic Graduate Appointee

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 posse