Lawrence Livermore National Laboratory
National Security
MachineLearningSoftwareDeveloper
Neural analysis suggests this role is
optimal for entry candidates.
“Machine Learning Software Developer at Lawrence Livermore National Laboratory. Skills: Machine Learning, Large Language Model, Software development, Cybersecurity. Design software systems. Implement software systems”
What You'll Achieve.
Strengthen U. S. security; Promote global stability; Secure software and firmware; Mitigate threats to operational technology; Attract and retain projects, programs, and funding
Industry & Context.
Problem solving
Ability to secure and maintain a U. S. DOE Q-level security clearance, U. S. citizenship, Pre-Employment Drug Test, Restrictions with the use and/or possession of mobile devices in Limited Areas
What They're Looking For.
Must Have
Ability to secure and maintain a U. S. DOE Q-level security clearance which requires U. S. citizenship, Bachelor's degree in computer science, machine learning, computer engineering, artificial intelligence or related field, or an equivalent combination of technical education and relevant experience, Experience with development of Reinforcement learning, Large Language Model frameworks, agentic AI, or Graph Neural Networks, Experience in all aspects of software project life cycle: feasibility, requirements, design, implementation, integration, test and deployment, Broad experience developing software with either Python, C++ or JAVA within Linux, UNIX, and/or Windows environments, Ability to effectively manage concurrent technical tasks with competing priorities, along with the demonstrated ability to effectively change focus when necessary, Proficient verbal and written communication skills to communicate comprehensive knowledge effectively across multi-disciplinary teams and to non-cyber experts, and advise senior management and/or external sponsors, and interpersonal skills necessary to effectively collaborate in a team environment
Nice to Have
Advanced degree with significant focus in cybersecurity, computer science, information technology, computer engineering, AI/ML, or a related field, Knowledge of one or more of the following computer science disciplines: embedded systems, scientific data analysis, machine learning, systems programming, software engineering, formal verification methods, industrial control systems, or high-performance computing, Ability to secure sponsor funding through winning proposals and sponsor relationships, Previous experience working Department of Energy, Department of Homeland Security, Department of Defense, a utility, manufacturing, or hardware/software company, or a cybersecurity firm
What You'll Do.
Design software systems
Implement software systems
Deploy software systems
Maintain software systems
Provide computer science support
Provide machine learning support
Provide software development support
Develop LLM applications
Participate in requirements definition
Participate in analysis
Participate in design
Participate in implementation
Participate in debugging
Participate in testing
Participate in optimization
Guide development of software tools
Guide development of firmware tools
Guide development of malware analysis tools
Identify new applications
Create vision for software capabilities
Create technical direction for software capabilities
Develop new program growth opportunities
Develop research proposals
How You'll Work.
Team & Collaboration
Collaborate in a team environment; Work with multi-talented teams; Work with multi-disciplinary teams
Communication Scope
Verbal communication; Written communication; Interpersonal skills; Advanced verbal communication; Advanced written communication
Process & Methodology
Manage concurrent technical tasks, Manage competing priorities, Lead software engineering projects
Full Job 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. We have an opening for a Machine Learning Software Developer to help to shape research and development efforts to secure software and firmware used in systems critical to our national security, including industrial control systems, in partnership with the Federal government, manufacturers, and asset owners and operators. You will also lead or contribute to the creation of Large Language Model-driven agents, which work to better understand supply chain threats to critical systems and networks. These positions are programmatically in Global Security’s Energy and Homeland Security (E) Program and administratively in the Global Security Computing Applications Division (GS-CAD) within the Computing Directorate. This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. You will * Design, implement, deploy, and maintain software systems using object-oriented analysis, design, and programming techniques in Python. * Provide computer science, machine learning, or software development support to multitalented teams using industry standard software development practices, modern programming languages, and operating s
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