Cybersecurity Graduate Intern - Cyber and Critical Infrastructure Summer Institute - Summer 2027

LLNL•Livermore, CA

4d•Onsite

About The Position

Lawrence Livermore National Laboratory has multiple openings for graduate students in its Cyber and Critical Infrastructure Summer Institute (CSI). Interns will work on cybersecurity topics aligned with LLNL’s national security missions, including development and implementation of cybersecurity tools and capabilities to mitigate advanced threats and cybersecurity for civilian and defense critical infrastructure. The program offers professional and technical development activities with laboratory subject matter experts, opportunities to network with interns and employees, and exposure to LLNL’s support for U.S. national security. The 2027 program runs during the summer. Start dates range from May 17, 2027, through June 21, 2027, and end dates are flexible through September 24, 2027. The position requires full-time on-site presence. Interns provide technical and research support, conduct research under limited direction, complete technical assignments, attend on-site seminars and training, and present their work through presentations or poster sessions. The monthly pay is $10,215, determined by California’s Computer Professional Exemption. The position requires work by a U.S. person due to U.S. Export Control. No security clearance is required. Assignments longer than 179 cumulative days in a calendar year require the Personal Identity Verification process, except for foreign nationals. Selected external applicants must pass a post-offer, pre-employment drug test. Some duties may involve Limited Areas where personal and laboratory mobile or wireless devices are restricted.

Requirements

Must be a continuing college or university student in good standing at an accredited institution and pursuing a graduate degree.
Ability to apply computational science and/or mathematical principles to solve technical problems.
Demonstrated academic achievement in a scientific curriculum.
Experience applying advanced computational science and/or mathematical principles to solve technical problems.
Demonstrated effective communication skills and ability to present and communicate concepts and ideas.
Ability to work in a team environment.
Coursework or relevant experience exposing the candidate to one or more of the following: machine learning and Super Intelligence (SI), formerly artificial intelligence (AI); network/protocol analysis; intrusion detection; cryptography; reverse engineering; incident response; malware analysis; systems programming; threat, risk, and/or attack characterization and analysis; Operational Technology/Industrial Control Systems cybersecurity; or software tool development.
Effective programming skills in C/C++, Java, or Python.
Must be a U.S. person (U.S. citizen, U.S. lawful permanent resident, U.S. national, or U.S. protected individual, such as a refugee or asylee) because the work involves U.S. Export Control.
External applicants selected for the position must pass a post-offer, pre-employment drug test.

Nice To Haves

GPA of 3.0 or above.
Coursework or relevant experience with tools such as Matlab/Simulink, Wireshark, Ghidra, Binary Ninja, IDA Pro/Free, Zeek/Corelight, Splunk, Docker, NMAP, Suricata/Snort, Security Onion, Cuckoo, FTK, ELK, GDB, WinDBG/x64DBG/Immunity, or IDS/IPS.

Responsibilities

Provide technical and/or research support to projects involving cybersecurity, critical infrastructure, and related fields, working with scientists, engineers, and technical staff.
Support documentation, testing, and creation or modification of Laboratory software, hardware, or computer operating systems.
Conduct research under limited direction and supervision in assigned cybersecurity or related areas, including network/protocol analysis, intrusion detection, reverse engineering, incident response, malware analysis, systems programming, threat and risk analysis, Operational Technology/Industrial Control Systems cybersecurity, software tool development, and artificial intelligence/machine learning.
Perform basic-complexity technical assignments and provide technical support to scientists working on scientific research and development projects.
Attend relevant on-site seminars and training classes at least once per week.
Present work through presentations and/or poster sessions.
Perform other duties as assigned.