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HPC AI Cybersecurity Specialist; HPC Engineer

Job in Los Alamos, Los Alamos County, New Mexico, 87545, USA
Listing for: Los Alamos National Security LLC
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer (Applied/Software), Information Security & Data Protection, Systems Engineer
Salary/Wage Range or Industry Benchmark: 106400 - 215900 USD Yearly USD 106400.00 215900.00 YEAR
Job Description & How to Apply Below
What You Will Do

The High Performance Computing (HPC) Division at Los Alamos National Laboratory provides scientific computing resources consisting of some of the largest HPC systems in the world as well as numerous large commodity cluster systems and a quickly growing AI/ML/LLM infrastructure. Our Cybersecurity Team within the HPC Systems Group (HPC-SYS) is seeking a highly qualified Cybersecurity AI Specialist member capable of integrating emerging AI cybersecurity frameworks and solutions into our Linux environment.

The selected candidate will stay up to date on AI tools and techniques in order to deploy these resources securely within the HPC Division.

HPC Engineer 2: ($106,400- $176,000)

The primary responsibilities will include working closely with HPC Cybersecurity leads to assist implementing HPC's overall AI cybersecurity strategy. The selected candidate will assist in the design and implementation of security controls for AI-specific assets. Develop defenses against AI threats including data poisoning, prompt injection, model extraction, adversarial examples, jailbreaks, and misuse of LLM agents. Evaluate, integrate, and automate modern AI security tools and policies across HPC Division systems, aligning with Los Alamos National Laboratory cybersecurity standards.

The selected candidate will work both independently and collaboratively with other members of HPC to provide technical assistance to develop and deploy secure AI resource.

HPC Engineer 3: ($128,000 - $215,900)

In addition to what was outlined at the lower level, at this level the selected candidate will lead the design of HPC's AI cybersecurity strategy. Lead development and deployment of novel solutions to secure AI within an HPC environment. Develop and present technical reports and briefings on system vulnerabilities to convey risks, impacts and recommendations. The selected candidate will represent LANL HPC in collaborations with other divisions and other NNSA/DOE HPC centers.

Mentor junior staff and students, and produce technical artifacts (presentations, papers, reports) that advance AI cybersecurity within HPC.

This position will be filled at either the HPC Engineer 2/3 level, depending on the skills of the selected candidate.

What You Need
Minimum

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…
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