Member​/Senior - R&D Artificial Intelligence; AI) Models, Onsite

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide

Extraordinary co-workers

Some of the best tools, equipment, and research facilities in the world

Career advancement and enrichment opportunities

Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)

• Generous vacation
• strong medical and other benefits
• competitive 401k
• learning opportunities
• relocation assistance and amenities aimed at creating a solid work/life balance*

* These benefits vary by job classification.

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!

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 (LLM, 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.

$102,400 - $199,700

* Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

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.

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