HPC AI Cybersecurity Specialist (HPC Engineer 2/3)

What You NeedMinimum Job Requirements: Knowledge in one or more of the following disciplines: Cybersecurity, Information Security, Information Assurance, Computer Science. Understanding of classic and contemporary cyber threats and vulnerabilities and demonstrated ability to apply that knowledge to system engineering, analytics, or operations. Experience deploying AI resources in a production computing environments Understanding of function and role of AI gateways, Retrieval-Augmented Generation (RAG) databases, and Model Context Protocol (MCP) servers Working knowledge of agentic workflows, including security risks and operational limitations. Working knowledge of AI harnesses used to configure, run, evaluate, and manage AI models and agents. Experience with commodity cybersecurity tools Experience working in a production computing environment, preferably with HPC systems or at large scale. Experience with writing test plans, findings reports or published papers. Strong interpersonal communication skills with the ability to work with groups of people of various levels of technical knowledge or understanding. Demonstrated experience working effectively under the pressure of frequent interruptions and conflicting priorities. Demonstrated ability to write and modify scripts in Bash, Perl, Python, or a similar language to automate technical tasks. Ability to explain how memory-safe programming languages reduce common software security vulnerabilities. Ability to communicate technical information clearly in writing and verbally. Additional Job Requirements for HPC Engineer 3:In addition to the requirements outlined above, qualification at the higher level requires: Expert knowledge and practical experience at the advanced level in one or more of the following disciplines: Cybersecurity, Information Security, Information Assurance, Computer Science. Expert technical knowledge of classic and contemporary cyber threats and vulnerabilities and demonstrated ability to apply that knowledge to system engineering, analytics, or operations. Experience leading the deployment of AI resources in a production computing environments. Expert knowledge of AI systems and component pieces such as AI gateways, RAG databases, MCP servers. Demonstrated experience and expertise in creating or modifying cybersecurity tools for a production computing environment. Experience making significant security contributions to the planning, design, testing and implementation phases for deploying new technologies. Expertise in using currently available AI tools Excellent written and oral communication skills. Education/Experience at HPC Engineer 2:Position Requires a bachelor's in Computer Science, Computer Engineering, or a related field, and 3 years of relevant experience in high performance computing or scalable AI computing, or data center environments or equivalent combination of education and experience in related field. Education/Experience at HPC Engineer 3:Position Requires a bachelor's in Computer Science or Computer Engineering or a related field and 6 years of relevant experience in high performance computing or scalable AI computing, or data center environments or equivalent combination of education and experience in related field.

Desired Qualifications: Strong Linux knowledge and expertise as an administrator. Broad knowledge of administration of production Linux computer systems, utilities, and tools, including experience building, configuring, and administering production Linux computer systems. Experience hardening Linux servers operating in a multi-user environment Knowledge of High Performance Computing, including environments and supporting infrastructure. Knowledge of distributed systems, including system architectures, computer networks, software and multi-tenancy. Knowledge of integrating MCP servers with legacy systems Experience maintaining user provenance within AI workflows Experience with automating security processes such as automating alert analysis and integrating multiple security tools together so data from one can feed another. Experience using one or more enterprise monitoring tools (such as Splunk, Grafana). Knowledge of and experience with securing web-based user interfaces. Possess high attention to detail including excellent organizational skills, analytical thinking, observational skills and problem-solving skills. Ability to multi-task and adjust to the workings of a dynamic and fast paced environment. Active DOE "Q" clearance

Work Location: This position will be located in Los Alamos, NM, with the potential for a hybrid work arrangement (60% onsite/40% offsite) from a location within 2 hours ground commute of this location. Reporting onsite will be required. Hybrid is at the discretion of management and can change at any time with appropriate notice. Position commitment: This position will be located in Los Alamos, NM, with the potential for a hybrid work arrangement (60% onsite/40% offsite) from a location within 2 hours ground commute of this location. Reporting onsite will be required. Hybrid is at the discretion of management and can change at any time with appropriate notice. Where You Will WorkLocated in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institute engaged in strategic science on behalf of national security. Our generous benefits package includes: PPO or High Deductible medical insurance with the same large nationwide network Dental and vision insurance Free basic life and disability insurance Paid childbirth and parental leave Award-winning 401(k) (6% matching plus 3.5% annually) Learning opportunities and tuition assistance Flexible schedules and time off (PTO and holidays) Onsite gyms and wellness programs Extensive relocation packages (outside a 50 mile radius)