About Sandia:

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*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov

*These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking a Postdoctoral Appointee in Machine Learning and Artificial Intelligence to research, design, and deploy next-generation agentic frameworks to accelerate scientific discovery, engineering design and advanced manufacturing and qualification strategies. The successful candidate will develop and deploy novel ML/AI architectures including generative, multi-agent, and simulation-informed models that can reason, plan, and collaborate in scientific contexts.

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

• Collaborate with domain experts across physics, manufacturing, and computational modeling to integrate AI solutions into complex simulation and scientific workflows.
• Contribute to codebases that implement modular, containerized (e.g., Docker/Singularity) ML solutions for distributed computing environments.
• Prototype AI frameworks that integrate simulation, optimization, and ML-driven reasoning for scientific or engineering workflows.
• Develop and deploy machine learning pipelines in Python using frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
• Integrate state of the art and open-source generative AI models into broader AI-enabled workflows
• Design, train, and evaluate large-scale generative models or agentic architectures for scientific data synthesis and design tasks.
• Assist in defining and refining research vision, roadmaps, and success criteria for AI-enabled multi-agent frameworks.
• Conduct and publish novel research in generative AI, autonomous agents, or AI-driven design acceleration.
• Present results through internal reports, external publications, and conferences.
• Mentor interns or junior researchers in applied AI development.

*Due to the nature of the work, the selected applicant will be required to work onsite. Relocation will be provided for those that qualify.

**Applicants on this requisition may be interviewed by multiple organizations at Sandia National Laboratories

Qualifications We Require:

• Ph.D. (earned within the past 5 years, or anticipated within 6 months) in Computer Science, Applied Mathematics, Mechanical Engineering, or related STEM discipline
• Ability to obtain and maintain DOE Q-level security clearance
• Experience developing and deploying LLM-enabled software, such as through direct use of LLM APIs, agents, or multi-agent frameworks
• Proficiency in Python and experience with at least one major ML framework (e.g., PyTorch, TensorFlow, JAX, Hugging Face Transformers)
• Working understanding of generative AI methods such as diffusion models, LLMs, or Variational Autoencoders (VAEs).

Qualifications We Desire:

• Strong analytical, written, and verbal communication skills
• Ability to work collaboratively in multi-disciplinary research environments
• Demonstrated research experience in machine learning, deep learning, or artificial intelligence (such as through publications, code repositories, or preprints)
• Experience with containerized workflows (Docker, Singularity) and software versioning (Git, GitHub/GitLab CI/CD)
• Exposure to modeling and simulation tools, scientific computing, or digital twin frameworks
• Familiarity with reinforcement learning, autonomous experimentation, or AI-for-science use cases
• Demonstrated ability to integrate ML with physics-informed or hybrid modeling approaches
• Experience with high-performance computing (HPC) or cloud-based ML development (e.g., Slurm, Kubernetes, AWS/GCP)
• Evidence of leadership potential through mentoring, collaboration, or open-source contributions

About Our Team:

The Center for Computing Research (CCR) at Sandia creates technology and solutions for many of our nation's most demanding national security challenges. The Center's portfolio spans the spectrum from fundamental research to state-of-the-art applications. Our work includes computer system architecture (both hardware and software); enabling technology for modeling physical and engineering systems; and research in discrete mathematics, data analytics, cognitive modeling, and decision support materials.

You will be part of a multi-disciplinary, success-oriented team working on mission-critical AI model development and deployment with national security implications. Occasional travel may be required. If you¿re passionate about advancing cutting-edge AI algorithms and building the software infrastructure that powers them, we want to hear from you.

Posting Duration:

This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.

Security Clearance:

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

EEO:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

NNSA Requirements for MedPEDs:

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

Position Information:

This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.

Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.

Job ID: 697477

Job Family: 92

Regular/Temporary Position: T

Full/Part-Time Status: F