×
Register Here to Apply for Jobs or Post Jobs. X

Artificial Intelligence Integration Engineer; Scientist

Job in Los Alamos, Los Alamos County, New Mexico, 87545, USA
Listing for: Los Alamos National Security LLC
Full Time position
Listed on 2025-12-17
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 94500 - 172200 USD Yearly USD 94500.00 172200.00 YEAR
Job Description & How to Apply Below
Position: Artificial Intelligence Integration Engineer (Scientist 1/2)
What You Will Do

This position will be filled at the Scientist 1 or Scientist 2 level, depending on the skills of the selected candidate. Additional responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.

We are hiring a team to pioneer trustworthy and reliable artificial intelligence (AI) methods that will revolutionize scientific discovery and national security. At Los Alamos National Laboratory (LANL), the X Computational Physics Division's Artificial Intelligence for Nuclear Deterrence Group (XCP-AI4ND) develops, validates, and delivers machine learning systems that enhance the safety, reliability, and performance of the nation's nuclear deterrent. Specifically, the group builds AI tools for weapons physics to support the laboratory's mission of maintaining and modernizing the U.S. nuclear stockpile while exploring future deterrent options.

These AI tools accelerate weapons design, engineering, production, certification, and assessment processes, while also strengthening the assessment and mitigation of global security threats. As an AI Research Engineer in XCP-AI4ND, you will lead workflow compression efforts by applying large language models and other AI techniques to streamline critical phases of the nuclear weapons lifecycle.

You will work closely with computational physicists and national security experts in the X Computational Physics (XCP) Division, leveraging some of the world's most advanced supercomputers and global expertise in multi-physics simulation. XCP staff span a wide range of computational physics modeling disciplines including numerical fluid and solid mechanics, materials science, radiation hydrodynamics, plasma physics, turbulence, magneto hydrodynamics, high explosives, nuclear physics and engineering, and neutral and charged particle transport.

Other research efforts focus on optimizing physics algorithms for both homogeneous and heterogeneous high-performance computing platforms. Our scientists conduct applied physics and engineering research, implement models into production codes using strong software development practices, test and validate these methods, and assist users with adoption. At LANL, you will be part of a thriving, interdisciplinary research environment, working alongside leading scientists and engineers to tackle some of the world's hardest science and security challenges.

We are seeking talented software engineers and scientists to join our teams located in Los Alamos, New Mexico and Ann Arbor, Michigan. Selected candidates will have the opportunity to choose their work location based on personal preference and project fit. Both locations offer unique opportunities for professional growth and impact. Please indicate your preferred work location in your cover letter when applying.

Scientist 1 $ 94,500 - $154,600

We are looking for a technically skilled and curious research engineer who is excited about using AI tools to automate the repetitive or manual parts of scientific computing and manufacturing processes. This includes applying LLMs and coding assistants to accelerate development, debugging, documentation, and system integration tasks. This role emphasizes pragmatic, high-impact applications of AI. At LANL, we tackle scientific and national security challenges that go beyond standard AI, requiring innovative solutions to work with unique data modalities, multi-physics simulations, and sparse or noisy datasets.

Your work will be critical to integrating and transitioning novel ML models developed by colleagues into real-world mission workflows.

The ideal candidate will have strong software development skills, experience with modern Dev Ops or MLOps practices, and a willingness to contribute across the hardware-software stack. In this role, you will support interdisciplinary research projects by operationalizing machine learning workflows, integrating AI into larger scientific applications, and ensuring reproducibility and reliability of results. Strong Unix system administration expertise, Dev Ops engineering capabilities, or experience in backend/front-end application development are highly valued.

Scientist 2 - $104,100 - $172,200
In addition to the responsibilities outlined for Scientist 1, candidates at the Scientist 2 level are expected to demonstrate more independence in research software development and deployment, and to make technical contributions across multiple projects. You will take a lead role in agile software engineering processes, building systems that compress and automate existing research workflows, and developing tools that enable researchers across the lab to apply AI systems more effectively in production environments.

What You Need

Minimum

Job Requirements:

  • Software Engineering
    :
    Front-end or back-end development experience, including API design, UI/UX, or scientific application support. Strong coding skills in Python, Julia, C++, and Fortran are high desirable.
  • AI Model Deployment
    :
    Experience deploying…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary