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# Member/Senior - R&D Artificial Intelligence (AI) Models, Onsite

- **Company:** ScienceJobs.Org
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $102,400.0 - $199,700.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Software Code Optimization, Collaborative Software, Nvidia CUDA, Distributed Computing Environment, Python (Programming Language), Machine Learning, Operational Databases, Tensorflow, Software Engineering, Supercomputing, Workflow Management Systems, Software Organization, Pytorch, Large Language Models, Multi-Agent Systems, Deep Learning, Discretization, Kubernetes, Hardware Acceleration
- **Published:** October 22, 2026
- **Apply:** https://sciencejobs.org/job/job/apply?id=7373029

## About the Role

* A Bachelor's degree in a relevant discipline, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
 * Ability to obtain and maintain a DOE Q clearance, The ideal R&D S&E Artificial Intelligence (AI) candidate for Sandia National Laboratories will in addition possess the following:
 * Graduate degree in a relevant computationally-intensive discipline where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).
 * Experience in developing software and AI systems for enterprise and national security applications.
 * Demonstrated software development skills and familiarity with modern software development practices.
 * Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment.

Also, for this posting we are seeking individuals with the following experience:

 * Experience working in collaborative software teams and familiarity with modern software development practices.
 * Demonstrated expertise with deep learning frameworks (PyTorch, TensorFlow) and proficiency in Python.
 * Demonstrated experience in building AI models (pretrain, finetune or post-train) or agentic systems for science and engineering domains
 * Experience deploying large language models, multimodal AI systems, or advanced agentic systems
 * Hands-on experience with model optimization techniques (quantization, pruning, distillation) and hardware acceleration
 * Experience with distributed computing frameworks (MPI, Horovod, Ray) and orchestration tools (Kubernetes)
 * Proficiency with C++, CUDA, or other performance-oriented languages/environments.

## Description

Sandia is partnering with industry, government, and academia to advance AI capabilities through research, development, and deployment. These collaborations facilitate support of DOE's AI initiatives, including the transfer and commercialization of award-winning AI technology, and the training of future leaders who must anticipate and tackle problems facing the nation.

We are seeking artificial intelligence (AI) researchers to tackle some of the most challenging national security challenges. As a valued member of our collaborative team, you will work alongside talented, multidisciplinary researchers to both leverage existing AI models and techniques and innovate in this space to address the unique needs of Sandia applications. If this sounds like an exciting challenge to you, we look forward to reading your application!

On any given day, you may be called upon to:

 * Conduct creative AI research and develop supporting software to impact key Sandia missions
 * Collaborate with engineers, mathematicians and scientists across many disciplines
 * Publish in journals and conferences, and present at national and international venues
 * Design and train large-scale models and scientific models
 * Research, fine-tune, and certify large reasoning models (LLMs, graph neural nets, vision transformers, etc.) for various science and engineering domain tasks
 * Develop and integrate domain foundation models trained or adapted on DOE simulation, experimental, and production data
 * Develop Scientific discovery loops that include simulation and experiments in the loop for advancing state of the art
 * Build AI surrogates to accelerate exascale multiphysics simulations
 * Design and implement multi-agent frameworks
 * Run red-team evaluations to stress-test foundation models for robustness and fairness
 * Advise domain scientists on model-based hypothesis generation
 * Execute and optimize your software on state-of-the-art testbed computers and supercomputers at Sandia and other DOE facilities
 * Present prototype demos and research results to stakeholders across DOE, DoD, IC, and industry
 * Help us define the future of computing

*The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.

Salary Range:

$102,400 - $199,700