Science and Technology on a Mission!
For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.
We have an opening for an early career computer scientist with a background in cybersecurity. You will contribute, provide subject matter expertise and lead research projects in the area of cybersecurity for critical infrastructure systems and civilian networks. You will participate in strategy and business development for the Cyber and Infrastructure Resilience (CIR) program in the Global Security Principal Associate Directorate.
This position will be filled at either the SES.2 or SES.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level.
Develop creative new techniques for detecting and analyzing malware for both IT and OT environments.
Apply and develop tools for in-depth software analysis and software assurance.
Correlate and synthesize information from multiple sources to improve, expedite, and automate malware detection and remediation in IT and OT networks.
Analyze and formulate methodologies for red team exercises and vulnerability assessments on networks and devices.
Work on adapting existing and developing new cybersecurity tools for monitoring, detecting, and mitigating cyber threats tailored to ICS networks.
Share relevant knowledge, opinions, and recommendations for modeling cyber-attacks on critical infrastructure and civilian networks.
Develop cross-domain strategies for increased security and resiliency of critical infrastructure, working with researchers in other disciplines.
Perform other duties as assigned.
In Addition, at the SES.3 Level
Lead multidisciplinary teams in the areas of critical infrastructure cyber security, information security, and network security.
Pursue program development opportunities by co-authoring proposals and proposing ideas that will address sponsor needs. Identify program growth opportunities for existing customers, understanding the customer space and needs.
Present results and provide subject matter expertise across multi-discipline projects engaging with sponsors on a regular basis.
Master’s degree in computer science, computer engineering, or a related field or the equivalent combination of education and related experience.
Comprehensive experience in one of the following areas: malware analysis, malware detection, software analysis, network security, intrusion detection, incident response.
Experience in one of the cybersecurity areas including network/protocol analysis, intrusion detection, cryptography, reverse engineering, incident response, malware analysis, and/or secure architectures, compilers, binary or program analysis, cryptography.
Ability to communicate comprehensive knowledge effectively across multi-disciplinary teams and to non-cyber experts.
Experience with cybersecurity tools, such as Wireshark, IDA Pro, Windbg, Snort, or Nmap.
Demonstrated ability to effectively manage concurrent technical tasks with contending priorities, as well as approaching difficult problems with enthusiasm and creativity to change focus when necessary.
Proficient verbal, written, and interpersonal skills necessary to effectively collaborate in a team environment and present and explain technical information.
In Addition, at the SES.3 Level
Experience writing research proposals and securing sponsor funding.
Project leadership experience. Demonstrated ability to work independently while effectively managing concurrent technical tasks with competing priorities.
Advanced interpersonal, verbal, and written skills necessary to effectively collaborate in a team environment, present and explain technical information, and provide advice to management.
Ph.D. degree in computer science, computer engineering, or a related field.
Demonstrated software engineering experience in C, C++, or Python.
Knowledge of one or more of the following computer science disciplines: embedded systems, high performance computing, scientific data analysis, machine learning, systems programming, software engineering, and big data technologies.
Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test.
Anticipated Clearance Level: Q. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.
Note: This is a Career Indefinite position. Lab employees and external candidates may be considered for this position.
Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $1.5 billion, employing approximately 6,000 employees.
LLNL is an affirmative action/ equal opportunity employer. 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, protected veteran status, age, citizenship, or any other characteristic protected by law.