Intelligence Specialist jobs at Lockheed Martin

AI Architect A highly experienced AI Architect with 10-12 years of professional experience in designing, building, and scaling enterprise-grade AI and Generative AI (GenAI) solutions across leading public cloud platforms (Azure, AWS, GCP). The ideal candidate will play a strategic role in AI solution architecture, data & model engineering, cloud integration, and MLOps/LLMOps frameworks, while working closely with business and technology teams to drive measurable outcomes through AI innovation. Key Responsibilities • AI Solution Architecture: • Enterprise Integration: • GenAI Solution Design: • MLOps & LLMOps: • Data Architecture Collaboration: • Stakeholder Engagement: • Innovation & Research: • Performance Optimization: • Mentorship: Technical Skills & Competencies AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, Lang Chain, LlamaIndex, Open AI API, etc. GenAI & LLMs: Experience with GPT-4/4o, Claude, Gemini, Mistral, LLaMA, fine-tuning, RAG (Retrieval-Augmented Generation), and prompt engineering. Cloud Platforms: Deep understanding of Azure AI (OpenAI, AI Search, ML), AWS (SageMaker, Bedrock, Comprehend, Lex), GCP Vertex AI. MLOps & LLMOps: Azure ML Pipelines, Sage Maker Pipelines, MLflow, Kubeflow, or custom CI/CD for AI. Data & Integration: Experience with Data Lakes, Databricks, Synapse, Kafka, REST/GraphQL APIs, and vector DBs like Pinecone, We aviate, FAISS, Milvus, or Cosmos DB. Programming: Python, SQL, REST APIs, YAML, Docker, Kubernetes, Terraform (IaC). Responsible AI: Understanding of bias detection, model explain ability, and governance principles. Architecture Design: Expertise in TOGAF/Well-Architected frameworks and AI reference architectures. Qualifications Proven experience in designing and delivering AI solutions at enterprise scale. Cloud certifications (Azure AI Engineer, AWS ML Specialty, or GCP ML Engineer) preferred. Strong communication and presentation skills for stakeholder engagement and executive alignment.

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: ********************* * These benefits vary by job classification. What Your Job Will Be Like Sandia's AI team 1466 is building DOE's next-generation AI Platform around three pillars Data, Models, and Infrastructure to solve high-impact "lighthouse problems" in agile deterrence, energy dominance, and critical materials. As a Postdoctoral Appointee, you"ll join the Data Pillar team to design, implement, and operate Sandia's AI-ready, zero-trust data ecosystem. Your work will transform raw simulation outputs, sensor and facility logs, experimental records, and production data into governed, provenance-tracked, and access-controlled datasets that power AI models, autonomous agents, and mission workflows across DOE's HPC, cloud, and edge environments. Key Responsibilities: * Build and operate an AI-Ready Lakehouse * Design and maintain a federated data lakehouse with full provenance/versioning, attribute-based access control, license/consent automation, and agent telemetry services * Implement automated, AI-mediated ingestion pipelines for heterogeneous sources (HPC simulation outputs, experimental instruments, robotics, sensor streams, satellite imagery, production logs) * Enforce Data Security & Assurance * Develop a Data Health & Threat program: dataset fingerprinting, watermarking, poisoning/anomaly detection, red-team sampling, and reproducible training manifests * Configure secure enclaves and egress processes for CUI, Restricted Data, and other sensitive corpora with attestation and differential-privacy where required * Define and Implement Data Governance * Establish FAIR-compliant metadata standards, data catalogs, and controlled-vocabulary ontologies * Automate lineage tracking, quality checks, schema validation, and leak controls at record-level granularity * Instrument AI Workflows with Standardized Telemetry * Deploy Agent Trace Schema (ATS) and Agent Run Record (ARR) frameworks to log tool calls, decision graphs, human hand-offs, and environment observations * Treat agent-generated artifacts (plans, memory, configurations) as first-class data objects * Collaborate Across Pillars * Work with Models and Interfaces teams to integrate data services into training, evaluation, and inference pipelines * Partner with Infrastructure engineers to optimize data movement, tiered storage, and high-bandwidth networking (ESnet) between HPC, cloud, and edge * Engage domain scientists and mission leads for agile deterrence, energy grid, and critical materials use cases to curate problem-specific datasets * Support Continuous Acquisition & Benchmarking * Design edge-to-exascale data acquisition systems with robotics and instrument integration * Develop data/AI benchmarks datasets, tools, and metrics for pipeline performance, model evaluation, and mission KPIs On any given day, you may be called upon to: * Author an AI-mediated parser for a new experimental instrument, automatically extracting and cataloging metadata * Implement an attribute-based policy that blocks unapproved data combinations in a classified enclave * Prototype a streaming pipeline that feeds live sensor data from a nuclear facility into an HPC training queue * Develop a dashboard that alerts on data drift, pipeline failures, or anomalous records * Collaborate with MLOps engineers to version datasets alongside model artifacts in CI/CD 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. Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. Qualifications We Require * Possess, or are pursuing, a PhD in Computer Science, Data Science, Statistics, or a related science or engineering field, PhD must be conferred within five years prior to employment * Experience or knowledge in these areas: * Building and maintaining production data pipelines (ETL/ELT) and data warehouses or data lakes * Programming languages such as Python, SQL, and experience with frameworks like Apache Spark or Dask * Data security and zero-trust principles, including secure enclaves, attribute-based access control, and data masking or differential privacy * Cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes * Ability to acquire and maintain a DOE Q-level security clearance Qualifications We Desire * Significant data research experience * Background in AI-mediated data curation: automated annotation, feature extraction, and dataset certification * Experience implementing data governance and metadata management tools (e.g., Apache Atlas, DataHub, Collibra) * Experience developing and refining data architectures and data flows * Hands-on background in MLOps and CI/CD for data and ML workflows (e.g., Jenkins, GitLab CI, MLflow) * Knowledge of human-factors engineering and UX design principles for data platforms * Knowledge of agile principles and practices and experience working as part of agile teams * Ability to work effectively in a dynamic, interdisciplinary environment, guiding technical decisions and mentoring junior staff * Strong written and verbal communication skills, with the ability to present complex data concepts to diverse audiences * Ability to obtain and maintain a SCI clearance, which may require a polygraph test. Also, for this posting we are seeking individuals with the following experience: * Curating and managing scientific or engineering datasets * Designing and enforcing data policies for classified, export-controlled, or proprietary data * Data architecture for HPC and edge-computing environments * Advanced data "munging" fusion techniques for heterogeneous and streaming data sources * Building data pipelines for feature stores, experiment tracking, and model drift monitoring * Designing and enforcing data policies for classified, export-controlled, or proprietary data * Collaborating on public private partnerships or multi-lab federated data efforts About Our Team The Center (1400) 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, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you re passionate about building the data backbone for next-generation AI at scale, 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. Apply for Job * Careers * Sign In * New User

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: ********************* * These benefits vary by job classification. What Your Job Will Be Like Sandia s artificial intelligence (AI) team is building the U.S. Department of Energy s (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. As a Postdoctoral Appointee, you will join the Models Pillar team to architect, develop, and deploy fine-tuned reasoning models, domain foundation models, high-fidelity surrogate models, and autonomous agents. Your work will compress mission timelines by enabling scientists and engineers to explore design spaces, evaluate outcomes, and steer experiments and simulations with transparent, high-assurance AI workflows. We anticipate multiple hires for the Models Pillar that collectively span the set of responsibilities and skills described below. Likewise, postdoctoral appointees will be expected to work in conjunction with their Sandia mentors and teams from across Sandia and other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require deep technical insights, considerable innovation, research, and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities * Research, fine-tune, and certify large reasoning models (LLMs, graph neural nets, vision transformers, etc.) for domain tasks in materials science, chemistry, physics, grid controls, and nuclear security * Develop and integrate domain foundation models trained or adapted on DOE simulation, experimental, and production data * Build AI surrogates to accelerate exascale multiphysics simulations, enabling millisecond-scale predictions * Design and implement multi agent frameworks (hypothesizers, planners, executors, retrievers, assessors) with transparent decision graphs, uncertainty quantification, and audit logs * Embed continuous learning pipelines: connect model training/evaluation to live telemetry from HPC clusters, experiments, and autonomous labs * Develop a model repository with metadata, SBOMs, versioning, drift/poisoning surveillance, and periodic recertification * Develop and implement high-assurance controls: least-privilege execution, runtime shields/tripwires, deterministic fallbacks, cryptographic provenance, and enclave attestation for sensitive workloads * Collaborate with Data and Infrastructure teams to align model requirements with data lakehouses, compute fabric, and edge inference systems * Contribute to open-source and internal AI frameworks, toolkits, and best practices for agentic workflows On any given day, you may be called upon to: * Prototype a custom transformer for multisensor fusion in an agile-deterrence scenario * Optimize a surrogate neural network to replace a costly physics submodule in a reactor design simulation * Design a Planner agent that orchestrates HPC jobs, digital-twin simulations, and robotic chemistry runs * Run red-team evaluations to stress-test a foundation model for adversarial robustness and fairness * Package a model into a container with Kubernetes operators for deployment in a classified enclave * Advise domain scientists on prompt engineering and model-based hypothesis generation * Publish and present fundamental insights to laboratory and academic audiences * Present prototype demos and research results to stakeholders across DOE, DoD, IC, and industry Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. 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. Qualifications We Require * Possess, or are pursuing, a PhD in Computer Science, Electrical Engineering, Mathematics or a related science or engineering field, PhD must be conferred within five years prior to * Significant research in AI, ML, data science, or a closely related field with thesis or dissertation research * Expertise with deep learning frameworks (PyTorch, TensorFlow) and proficiency in Python * Ability to acquire and maintain a DOE Q-level security clearance Qualifications We Desire * Strong collaboration skills in dynamic, interdisciplinary teams and experience mentoring junior engineers * Excellent written and verbal communication skills for both technical and non-technical audiences * Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment. * Experience and proficiency with: * Developing and deploying large language models, multimodal AI systems, or advanced reinforcement-learning agents * Model optimization techniques: quantization, pruning, distillation * Hardware acceleration * MLOps toolchains for CI/CD, experiment tracking, and monitoring: MLflow, Kubeflow, TFX * C++, CUDA, or other performance-oriented languages/environments * Contributing to open-source AI frameworks or publishing peer-reviewed research * Integrating AI workflows with robotics, experimental facilities, or digital twins * Distributed training frameworks: MPI, Horovod, Ray * Hyperparameter tuning * HPC systems * Implementing secure AI workflows in classified or regulated environments * Knowledge of human-centered AI principles and UX design for model-driven applications * Knowledge of high-assurance AI: formal methods, red-teaming, interpretability, and runtime safety * Ability to obtain and maintain a SCI clearance, which may require a polygraph test. 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! 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. Apply for Job * Careers * Sign In * New User

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: ********************* * These benefits vary by job classification. What Your Job Will Be Like What Your Job Will Be Like Sandia's artificial intelligence (AI) team is building the U.S. Department of Energy's (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. As a Postdoctoral Appointee, you will join the Infrastructure Pillar team to design, develop, and deploy the unified compute-and-data fabric that underpins all mission workflows; from AI model training and simulation steering to real-time inference at experimental and production facilities. We anticipate multiple hires for the Infrastructure Pillar that collectively span the set of responsibilities and skills described below. Likewise, postdoctoral appointees will be expected to work in conjunction with their Sandia mentors and teams from across Sandia and other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require deep technical insights, considerable innovation, research, and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities * Architect and implement the hybrid compute fabric * Integrate exascale HPC systems with elastic cloud resources and specialized AI accelerator clusters (on-prem and in-cloud)o Deploy ruggedized edge servers and digital-twin * Infrastructure for sub-millisecond inference and real-time physics simulations * Develop software infrastructure for agentic workflows integrating modeling and simulations with real-time inference * Build federated Kubernetes clusters, container registry services, resource registry, and job scheduling abstractions * Design secure networking and enclaves and evaluate federated training frameworks on secure networks * Enable observability, provenance, and monitoring * Provide software-defined, dynamic security enclaves for sensitive data with attested runtime and curated egress * Deploy unified logging, metrics, dashboards, and trace-analysis across cloud and on-prem environments using OpenTelemetry, Prometheus, ELK, or equivalent * Support federated identity and access control * Integrate multiple identity providers, attribute-based access controls, and allocation models for risk-shared governance * Manage enterprise licensing, token agreements, and software audits for AI and HPC frameworks * Manage the full lifecycle of the AI platform's infrastructure, including capacity planning, upgrades, documentation, and performance monitoring * Implement and enforce security best practices within container environments, including Role-Based Access Control (RBAC), secrets management, network policies, and vulnerability scanning. On any given day, you may be called upon to * Stand up a new GPU-accelerated cluster, configure Slurm/Kubernetes, and validate performance benchmarks * Troubleshoot cross-site data transfers over ESnet and optimize WAN throughput for a petabyte-scale lakehouse * Deploy a hardened enclave for a classified ML training job with differential-privacy egress controls * Evaluate and develop agentic tools that are optimized for exascale HPC systems * Deploy and evaluate DOE and industry training and inference frameworks on HPC systems * Collaborate with the Models team to tune network and storage parameters for distributed training jobs * Publish and present fundamental insights to laboratory and academic audiences * Present real-time infrastructure status and forecasts to stakeholders * Present prototype demos and research results to stakeholders across DOE, DoD, IC, and industry Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. 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. Qualifications We Require * Possess, or are pursuing, a PhD in Computer Science, Electrical Engineering, Mathematics or a related science or engineering field, PhD must be conferred within five years prior to employment * Ability to acquire and maintain a DOE Q clearance Qualifications We Desire * Strong collaboration skills in dynamic, interdisciplinary teams and experience mentoring junior engineers * Excellent written and verbal communication skills for both technical and non-technical audiences * Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment. * Focus on high-performance or distributed computing * Experience with: * Container orchestration (Kubernetes, Docker) and infrastructure as code (Terraform, Ansible) * Performance evaluation of agentic and federated training frameworks on variety of training and inference workflows * AI Software infrastructure deployment on complex infrastructure * Deploying large-scale secure enclaves for CUI and RD applications * Integrating experimental facilities, robotics, or 3D-printing systems into automated AI workflows * DOE/NNSA compute and networking environments (Frontier, Aurora, Perlmutter, ESnet) * Networking: ESnet, VLANs, WAN overlays, encryption, and failover design * HPC systems administration: Slurm, PBS, Flux * Cloud platforms: AWS, Azure, GCP * Storage architectures: Lustre, GPFS, object stores, multi-tier caching * Observability toolchains: OpenTelemetry, Prometheus, Grafana, ELK, and automated log analytics * Secure enclave technologies and zero-trust security models * Implementing DevSecOps principles and security best practices in containerized infrastructure, including network policies, classification management, and vulnerability scanning * SIEM environments, such as Splunk, and operational management of application infrastructure services * Working in cross-lab federated teams with shared governance and risk models * Deep knowledge of performance issues related to training large AI models on HPC systems * Background in digital-twin or real-time simulation steering architectures * Ability to obtain and maintain a SCI clearance, which may require a polygraph test. You will be part of a multi-disciplinary, mission-focused team delivering the computing and data backbone for transformative AI systems. Occasional travel may be required. If you re passionate about building the software infrastructure that powers cutting edge AI systems, we want to hear from you. 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, mission-focused team delivering the compute and data backbone for transformative AI systems. Occasional travel may be required. If you're passionate about building the software infrastructure that powers cutting edge AI systems, 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. Apply for Job * Careers * Sign In * New User

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: ********************* *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 must be able to work onsite at least 75% of the time. 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 AI agents, multi-agent frameworks, or LLM-based tool use systems + 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 VAEs + Strong analytical, written, and verbal communication skills + Ability to work collaboratively in multi-disciplinary research environments Qualifications We Desire: + Demonstrated research experience in machine learning, deep learning, or artificial intelligence (e.g., 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 Advanced Metal Processing Department and Rapid Development Machine Shop provides scientific and engineering expertise in the areas of advanced manufacturing, metal additive manufacturing and laser machining/surface modification. Advanced manufacturing includes the design and fabrication of components by conventional subtractive machining, additive manufacturing, electrical discharge machining (EDM), laser machining, laser etching/annealing, vacuum induction melting, and optical probe measurements. Metal additive manufacturing expertise includes alloy development, qualification/acceptance, and design. Current technologies utilized include laser powder bed, metal fused deposition (FDM), and powder and wire directed energy deposition (DED). Our staff supports a variety of programs and is highly engaged in providing collaborative, innovative materials science and systems-based engineering solutions.The analytic capabilities available: High Speed Microscopy, High Speed Thermal Imaging, Thermal Desorption, Thermal Diffusivity, Particle Size Analysis, Avalanche Angle Measurement, Thermal Imaging, plus others. 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. Job ID: 696331 Job Family: 92 Regular/Temporary Position: T Full/Part-Time Status: F

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: ********************* *These benefits vary by job classification. What Your Job Will Be Like: Sandia's AI team 1466 is building DOE's next-generation AI Platform around three pillars Data, Models, and Infrastructure to solve high-impact "lighthouse problems" in agile deterrence, energy dominance, and critical materials. As a Postdoctoral Appointee, you"ll join the Data Pillar team to design, implement, and operate Sandia's AI-ready, zero-trust data ecosystem. Your work will transform raw simulation outputs, sensor and facility logs, experimental records, and production data into governed, provenance-tracked, and access-controlled datasets that power AI models, autonomous agents, and mission workflows across DOE's HPC, cloud, and edge environments. Key Responsibilities: + Build and operate an AI-Ready Lakehouse + Design and maintain a federated data lakehouse with full provenance/versioning, attribute-based access control, license/consent automation, and agent telemetry services + Implement automated, AI-mediated ingestion pipelines for heterogeneous sources (HPC simulation outputs, experimental instruments, robotics, sensor streams, satellite imagery, production logs) + Enforce Data Security & Assurance + Develop a Data Health & Threat program: dataset fingerprinting, watermarking, poisoning/anomaly detection, red-team sampling, and reproducible training manifests + Configure secure enclaves and egress processes for CUI, Restricted Data, and other sensitive corpora with attestation and differential-privacy where required + Define and Implement Data Governance + Establish FAIR-compliant metadata standards, data catalogs, and controlled-vocabulary ontologies + Automate lineage tracking, quality checks, schema validation, and leak controls at record-level granularity + Instrument AI Workflows with Standardized Telemetry + Deploy Agent Trace Schema (ATS) and Agent Run Record (ARR) frameworks to log tool calls, decision graphs, human hand-offs, and environment observations + Treat agent-generated artifacts (plans, memory, configurations) as first-class data objects + Collaborate Across Pillars + Work with Models and Interfaces teams to integrate data services into training, evaluation, and inference pipelines + Partner with Infrastructure engineers to optimize data movement, tiered storage, and high-bandwidth networking (ESnet) between HPC, cloud, and edge + Engage domain scientists and mission leads for agile deterrence, energy grid, and critical materials use cases to curate problem-specific datasets + Support Continuous Acquisition & Benchmarking + Design edge-to-exascale data acquisition systems with robotics and instrument integration + Develop data/AI benchmarks datasets, tools, and metrics for pipeline performance, model evaluation, and mission KPIs On any given day, you may be called upon to: + Author an AI-mediated parser for a new experimental instrument, automatically extracting and cataloging metadata + Implement an attribute-based policy that blocks unapproved data combinations in a classified enclave + Prototype a streaming pipeline that feeds live sensor data from a nuclear facility into an HPC training queue + Develop a dashboard that alerts on data drift, pipeline failures, or anomalous records + Collaborate with MLOps engineers to version datasets alongside model artifacts in CI/CD 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. Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. Qualifications We Require: + Possess, or are pursuing, a PhD in Computer Science, Data Science, Statistics, or a related science or engineering field, PhD must be conferred within five years prior to employment + Experience or knowledge in these areas: + Building and maintaining production data pipelines (ETL/ELT) and data warehouses or data lakes + Programming languages such as Python, SQL, and experience with frameworks like Apache Spark or Dask + Data security and zero-trust principles, including secure enclaves, attribute-based access control, and data masking or differential privacy + Cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes + Ability to acquire and maintain a DOE Q-level security clearance Qualifications We Desire: + Significant data research experience + Background in AI-mediated data curation: automated annotation, feature extraction, and dataset certification + Experience implementing data governance and metadata management tools (e.g., Apache Atlas, DataHub, Collibra) + Experience developing and refining data architectures and data flows + Hands-on background in MLOps and CI/CD for data and ML workflows (e.g., Jenkins, GitLab CI, MLflow) + Knowledge of human-factors engineering and UX design principles for data platforms + Knowledge of agile principles and practices and experience working as part of agile teams + Ability to work effectively in a dynamic, interdisciplinary environment, guiding technical decisions and mentoring junior staff + Strong written and verbal communication skills, with the ability to present complex data concepts to diverse audiences + Ability to obtain and maintain a SCI clearance, which may require a polygraph test. Also, for this posting we are seeking individuals with the following experience: + Curating and managing scientific or engineering datasets + Designing and enforcing data policies for classified, export-controlled, or proprietary data + Data architecture for HPC and edge-computing environments + Advanced data "munging" fusion techniques for heterogeneous and streaming data sources + Building data pipelines for feature stores, experiment tracking, and model drift monitoring + Designing and enforcing data policies for classified, export-controlled, or proprietary data + Collaborating on public private partnerships or multi-lab federated data efforts About Our Team: The Center (1400) 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, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you re passionate about building the data backbone for next-generation AI at scale, 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: 696214 Job Family: 92 Regular/Temporary Position: T Full/Part-Time Status: F

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: ********************* *These benefits vary by job classification. What Your Job Will Be Like: What Your Job Will Be Like Sandia's artificial intelligence (AI) team is building the U.S. Department of Energy's (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. As a Postdoctoral Appointee, you will join the Infrastructure Pillar team to design, develop, and deploy the unified compute-and-data fabric that underpins all mission workflows; from AI model training and simulation steering to real-time inference at experimental and production facilities. We anticipate multiple hires for the Infrastructure Pillar that collectively span the set of responsibilities and skills described below. Likewise, postdoctoral appointees will be expected to work in conjunction with their Sandia mentors and teams from across Sandia and other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require deep technical insights, considerable innovation, research, and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities + Architect and implement the hybrid compute fabric + Integrate exascale HPC systems with elastic cloud resources and specialized AI accelerator clusters (on-prem and in-cloud)o Deploy ruggedized edge servers and digital-twin + Infrastructure for sub-millisecond inference and real-time physics simulations + Develop software infrastructure for agentic workflows integrating modeling and simulations with real-time inference + Build federated Kubernetes clusters, container registry services, resource registry, and job scheduling abstractions + Design secure networking and enclaves and evaluate federated training frameworks on secure networks + Enable observability, provenance, and monitoring + Provide software-defined, dynamic security enclaves for sensitive data with attested runtime and curated egress + Deploy unified logging, metrics, dashboards, and trace-analysis across cloud and on-prem environments using OpenTelemetry, Prometheus, ELK, or equivalent + Support federated identity and access control + Integrate multiple identity providers, attribute-based access controls, and allocation models for risk-shared governance + Manage enterprise licensing, token agreements, and software audits for AI and HPC frameworks + Manage the full lifecycle of the AI platform's infrastructure, including capacity planning, upgrades, documentation, and performance monitoring + Implement and enforce security best practices within container environments, including Role-Based Access Control (RBAC), secrets management, network policies, and vulnerability scanning. On any given day, you may be called upon to + Stand up a new GPU-accelerated cluster, configure Slurm/Kubernetes, and validate performance benchmarks + Troubleshoot cross-site data transfers over ESnet and optimize WAN throughput for a petabyte-scale lakehouse + Deploy a hardened enclave for a classified ML training job with differential-privacy egress controls + Evaluate and develop agentic tools that are optimized for exascale HPC systems + Deploy and evaluate DOE and industry training and inference frameworks on HPC systems + Collaborate with the Models team to tune network and storage parameters for distributed training jobs + Publish and present fundamental insights to laboratory and academic audiences + Present real-time infrastructure status and forecasts to stakeholders + Present prototype demos and research results to stakeholders across DOE, DoD, IC, and industry Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. 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. Qualifications We Require: + Possess, or are pursuing, a PhD in Computer Science, Electrical Engineering, Mathematics or a related science or engineering field, PhD must be conferred within five years prior to employment + Ability to acquire and maintain a DOE Q clearance Qualifications We Desire: + Strong collaboration skills in dynamic, interdisciplinary teams and experience mentoring junior engineers + Excellent written and verbal communication skills for both technical and non-technical audiences + Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment. + Focus on high-performance or distributed computing + Experience with: + Container orchestration (Kubernetes, Docker) and infrastructure as code (Terraform, Ansible) + Performance evaluation of agentic and federated training frameworks on variety of training and inference workflows + AI Software infrastructure deployment on complex infrastructure + Deploying large-scale secure enclaves for CUI and RD applications + Integrating experimental facilities, robotics, or 3D-printing systems into automated AI workflows + DOE/NNSA compute and networking environments (Frontier, Aurora, Perlmutter, ESnet) + Networking: ESnet, VLANs, WAN overlays, encryption, and failover design + HPC systems administration: Slurm, PBS, Flux + Cloud platforms: AWS, Azure, GCP + Storage architectures: Lustre, GPFS, object stores, multi-tier caching + Observability toolchains: OpenTelemetry, Prometheus, Grafana, ELK, and automated log analytics + Secure enclave technologies and zero-trust security models + Implementing DevSecOps principles and security best practices in containerized infrastructure, including network policies, classification management, and vulnerability scanning + SIEM environments, such as Splunk, and operational management of application infrastructure services + Working in cross-lab federated teams with shared governance and risk models + Deep knowledge of performance issues related to training large AI models on HPC systems + Background in digital-twin or real-time simulation steering architectures + Ability to obtain and maintain a SCI clearance, which may require a polygraph test. You will be part of a multi-disciplinary, mission-focused team delivering the computing and data backbone for transformative AI systems. Occasional travel may be required. If you re passionate about building the software infrastructure that powers cutting edge AI systems, we want to hear from you. 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, mission-focused team delivering the compute and data backbone for transformative AI systems. Occasional travel may be required. If you're passionate about building the software infrastructure that powers cutting edge AI systems, 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: 696217 Job Family: 92 Regular/Temporary Position: T Full/Part-Time Status: F

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: ********************* * 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 must be able to work onsite at least 75% of the time. 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 AI agents, multi-agent frameworks, or LLM-based tool use systems * 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 VAEs * Strong analytical, written, and verbal communication skills * Ability to work collaboratively in multi-disciplinary research environments Qualifications We Desire * Demonstrated research experience in machine learning, deep learning, or artificial intelligence (e.g., 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 Advanced Metal Processing Department and Rapid Development Machine Shop provides scientific and engineering expertise in the areas of advanced manufacturing, metal additive manufacturing and laser machining/surface modification. Advanced manufacturing includes the design and fabrication of components by conventional subtractive machining, additive manufacturing, electrical discharge machining (EDM), laser machining, laser etching/annealing, vacuum induction melting, and optical probe measurements. Metal additive manufacturing expertise includes alloy development, qualification/acceptance, and design. Current technologies utilized include laser powder bed, metal fused deposition (FDM), and powder and wire directed energy deposition (DED). Our staff supports a variety of programs and is highly engaged in providing collaborative, innovative materials science and systems-based engineering solutions.The analytic capabilities available: High Speed Microscopy, High Speed Thermal Imaging, Thermal Desorption, Thermal Diffusivity, Particle Size Analysis, Avalanche Angle Measurement, Thermal Imaging, plus others. 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. Apply for Job * Careers * Sign In * New User

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: ********************* * These benefits vary by job classification. What Your Job Will Be Like Sandia's AI team 1466 is building DOE's next-generation AI Platform around three pillars Data, Models, and Infrastructure to solve high-impact "lighthouse problems" in agile deterrence, energy dominance, and critical materials. As a Postdoctoral Appointee, you"ll join the Data Pillar team to design, implement, and operate Sandia's AI-ready, zero-trust data ecosystem. Your work will transform raw simulation outputs, sensor and facility logs, experimental records, and production data into governed, provenance-tracked, and access-controlled datasets that power AI models, autonomous agents, and mission workflows across DOE's HPC, cloud, and edge environments. Key Responsibilities: * Build and operate an AI-Ready Lakehouse * Design and maintain a federated data lakehouse with full provenance/versioning, attribute-based access control, license/consent automation, and agent telemetry services * Implement automated, AI-mediated ingestion pipelines for heterogeneous sources (HPC simulation outputs, experimental instruments, robotics, sensor streams, satellite imagery, production logs) * Enforce Data Security & Assurance * Develop a Data Health & Threat program: dataset fingerprinting, watermarking, poisoning/anomaly detection, red-team sampling, and reproducible training manifests * Configure secure enclaves and egress processes for CUI, Restricted Data, and other sensitive corpora with attestation and differential-privacy where required * Define and Implement Data Governance * Establish FAIR-compliant metadata standards, data catalogs, and controlled-vocabulary ontologies * Automate lineage tracking, quality checks, schema validation, and leak controls at record-level granularity * Instrument AI Workflows with Standardized Telemetry * Deploy Agent Trace Schema (ATS) and Agent Run Record (ARR) frameworks to log tool calls, decision graphs, human hand-offs, and environment observations * Treat agent-generated artifacts (plans, memory, configurations) as first-class data objects * Collaborate Across Pillars * Work with Models and Interfaces teams to integrate data services into training, evaluation, and inference pipelines * Partner with Infrastructure engineers to optimize data movement, tiered storage, and high-bandwidth networking (ESnet) between HPC, cloud, and edge * Engage domain scientists and mission leads for agile deterrence, energy grid, and critical materials use cases to curate problem-specific datasets * Support Continuous Acquisition & Benchmarking * Design edge-to-exascale data acquisition systems with robotics and instrument integration * Develop data/AI benchmarks datasets, tools, and metrics for pipeline performance, model evaluation, and mission KPIs On any given day, you may be called upon to: * Author an AI-mediated parser for a new experimental instrument, automatically extracting and cataloging metadata * Implement an attribute-based policy that blocks unapproved data combinations in a classified enclave * Prototype a streaming pipeline that feeds live sensor data from a nuclear facility into an HPC training queue * Develop a dashboard that alerts on data drift, pipeline failures, or anomalous records * Collaborate with MLOps engineers to version datasets alongside model artifacts in CI/CD 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. Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. Qualifications We Require * Possess, or are pursuing, a PhD in Computer Science, Data Science, Statistics, or a related science or engineering field, PhD must be conferred within five years prior to employment * Experience or knowledge in these areas: * Building and maintaining production data pipelines (ETL/ELT) and data warehouses or data lakes * Programming languages such as Python, SQL, and experience with frameworks like Apache Spark or Dask * Data security and zero-trust principles, including secure enclaves, attribute-based access control, and data masking or differential privacy * Cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes * Ability to acquire and maintain a DOE Q-level security clearance Qualifications We Desire * Significant data research experience * Background in AI-mediated data curation: automated annotation, feature extraction, and dataset certification * Experience implementing data governance and metadata management tools (e.g., Apache Atlas, DataHub, Collibra) * Experience developing and refining data architectures and data flows * Hands-on background in MLOps and CI/CD for data and ML workflows (e.g., Jenkins, GitLab CI, MLflow) * Knowledge of human-factors engineering and UX design principles for data platforms * Knowledge of agile principles and practices and experience working as part of agile teams * Ability to work effectively in a dynamic, interdisciplinary environment, guiding technical decisions and mentoring junior staff * Strong written and verbal communication skills, with the ability to present complex data concepts to diverse audiences * Ability to obtain and maintain a SCI clearance, which may require a polygraph test. Also, for this posting we are seeking individuals with the following experience: * Curating and managing scientific or engineering datasets * Designing and enforcing data policies for classified, export-controlled, or proprietary data * Data architecture for HPC and edge-computing environments * Advanced data "munging" fusion techniques for heterogeneous and streaming data sources * Building data pipelines for feature stores, experiment tracking, and model drift monitoring * Designing and enforcing data policies for classified, export-controlled, or proprietary data * Collaborating on public private partnerships or multi-lab federated data efforts About Our Team The Center (1400) 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, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you re passionate about building the data backbone for next-generation AI at scale, 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. Apply for Job * Careers * Sign In * New User

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: ********************* * These benefits vary by job classification. What Your Job Will Be Like What Your Job Will Be Like Sandia's artificial intelligence (AI) team is building the U.S. Department of Energy's (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. As a Postdoctoral Appointee, you will join the Infrastructure Pillar team to design, develop, and deploy the unified compute-and-data fabric that underpins all mission workflows; from AI model training and simulation steering to real-time inference at experimental and production facilities. We anticipate multiple hires for the Infrastructure Pillar that collectively span the set of responsibilities and skills described below. Likewise, postdoctoral appointees will be expected to work in conjunction with their Sandia mentors and teams from across Sandia and other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require deep technical insights, considerable innovation, research, and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities * Architect and implement the hybrid compute fabric * Integrate exascale HPC systems with elastic cloud resources and specialized AI accelerator clusters (on-prem and in-cloud)o Deploy ruggedized edge servers and digital-twin * Infrastructure for sub-millisecond inference and real-time physics simulations * Develop software infrastructure for agentic workflows integrating modeling and simulations with real-time inference * Build federated Kubernetes clusters, container registry services, resource registry, and job scheduling abstractions * Design secure networking and enclaves and evaluate federated training frameworks on secure networks * Enable observability, provenance, and monitoring * Provide software-defined, dynamic security enclaves for sensitive data with attested runtime and curated egress * Deploy unified logging, metrics, dashboards, and trace-analysis across cloud and on-prem environments using OpenTelemetry, Prometheus, ELK, or equivalent * Support federated identity and access control * Integrate multiple identity providers, attribute-based access controls, and allocation models for risk-shared governance * Manage enterprise licensing, token agreements, and software audits for AI and HPC frameworks * Manage the full lifecycle of the AI platform's infrastructure, including capacity planning, upgrades, documentation, and performance monitoring * Implement and enforce security best practices within container environments, including Role-Based Access Control (RBAC), secrets management, network policies, and vulnerability scanning. On any given day, you may be called upon to * Stand up a new GPU-accelerated cluster, configure Slurm/Kubernetes, and validate performance benchmarks * Troubleshoot cross-site data transfers over ESnet and optimize WAN throughput for a petabyte-scale lakehouse * Deploy a hardened enclave for a classified ML training job with differential-privacy egress controls * Evaluate and develop agentic tools that are optimized for exascale HPC systems * Deploy and evaluate DOE and industry training and inference frameworks on HPC systems * Collaborate with the Models team to tune network and storage parameters for distributed training jobs * Publish and present fundamental insights to laboratory and academic audiences * Present real-time infrastructure status and forecasts to stakeholders * Present prototype demos and research results to stakeholders across DOE, DoD, IC, and industry Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. 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. Qualifications We Require * Possess, or are pursuing, a PhD in Computer Science, Electrical Engineering, Mathematics or a related science or engineering field, PhD must be conferred within five years prior to employment * Ability to acquire and maintain a DOE Q clearance Qualifications We Desire * Strong collaboration skills in dynamic, interdisciplinary teams and experience mentoring junior engineers * Excellent written and verbal communication skills for both technical and non-technical audiences * Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment. * Focus on high-performance or distributed computing * Experience with: * Container orchestration (Kubernetes, Docker) and infrastructure as code (Terraform, Ansible) * Performance evaluation of agentic and federated training frameworks on variety of training and inference workflows * AI Software infrastructure deployment on complex infrastructure * Deploying large-scale secure enclaves for CUI and RD applications * Integrating experimental facilities, robotics, or 3D-printing systems into automated AI workflows * DOE/NNSA compute and networking environments (Frontier, Aurora, Perlmutter, ESnet) * Networking: ESnet, VLANs, WAN overlays, encryption, and failover design * HPC systems administration: Slurm, PBS, Flux * Cloud platforms: AWS, Azure, GCP * Storage architectures: Lustre, GPFS, object stores, multi-tier caching * Observability toolchains: OpenTelemetry, Prometheus, Grafana, ELK, and automated log analytics * Secure enclave technologies and zero-trust security models * Implementing DevSecOps principles and security best practices in containerized infrastructure, including network policies, classification management, and vulnerability scanning * SIEM environments, such as Splunk, and operational management of application infrastructure services * Working in cross-lab federated teams with shared governance and risk models * Deep knowledge of performance issues related to training large AI models on HPC systems * Background in digital-twin or real-time simulation steering architectures * Ability to obtain and maintain a SCI clearance, which may require a polygraph test. You will be part of a multi-disciplinary, mission-focused team delivering the computing and data backbone for transformative AI systems. Occasional travel may be required. If you re passionate about building the software infrastructure that powers cutting edge AI systems, we want to hear from you. 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, mission-focused team delivering the compute and data backbone for transformative AI systems. Occasional travel may be required. If you're passionate about building the software infrastructure that powers cutting edge AI systems, 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. Apply for Job * Careers * Sign In * New User

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: ********************* * These benefits vary by job classification. What Your Job Will Be Like Sandia s artificial intelligence (AI) team is building the U.S. Department of Energy s (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. As a Postdoctoral Appointee, you will join the Models Pillar team to architect, develop, and deploy fine-tuned reasoning models, domain foundation models, high-fidelity surrogate models, and autonomous agents. Your work will compress mission timelines by enabling scientists and engineers to explore design spaces, evaluate outcomes, and steer experiments and simulations with transparent, high-assurance AI workflows. We anticipate multiple hires for the Models Pillar that collectively span the set of responsibilities and skills described below. Likewise, postdoctoral appointees will be expected to work in conjunction with their Sandia mentors and teams from across Sandia and other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require deep technical insights, considerable innovation, research, and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities * Research, fine-tune, and certify large reasoning models (LLMs, graph neural nets, vision transformers, etc.) for domain tasks in materials science, chemistry, physics, grid controls, and nuclear security * Develop and integrate domain foundation models trained or adapted on DOE simulation, experimental, and production data * Build AI surrogates to accelerate exascale multiphysics simulations, enabling millisecond-scale predictions * Design and implement multi agent frameworks (hypothesizers, planners, executors, retrievers, assessors) with transparent decision graphs, uncertainty quantification, and audit logs * Embed continuous learning pipelines: connect model training/evaluation to live telemetry from HPC clusters, experiments, and autonomous labs * Develop a model repository with metadata, SBOMs, versioning, drift/poisoning surveillance, and periodic recertification * Develop and implement high-assurance controls: least-privilege execution, runtime shields/tripwires, deterministic fallbacks, cryptographic provenance, and enclave attestation for sensitive workloads * Collaborate with Data and Infrastructure teams to align model requirements with data lakehouses, compute fabric, and edge inference systems * Contribute to open-source and internal AI frameworks, toolkits, and best practices for agentic workflows On any given day, you may be called upon to: * Prototype a custom transformer for multisensor fusion in an agile-deterrence scenario * Optimize a surrogate neural network to replace a costly physics submodule in a reactor design simulation * Design a Planner agent that orchestrates HPC jobs, digital-twin simulations, and robotic chemistry runs * Run red-team evaluations to stress-test a foundation model for adversarial robustness and fairness * Package a model into a container with Kubernetes operators for deployment in a classified enclave * Advise domain scientists on prompt engineering and model-based hypothesis generation * Publish and present fundamental insights to laboratory and academic audiences * Present prototype demos and research results to stakeholders across DOE, DoD, IC, and industry Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. 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. Qualifications We Require * Possess, or are pursuing, a PhD in Computer Science, Electrical Engineering, Mathematics or a related science or engineering field, PhD must be conferred within five years prior to * Significant research in AI, ML, data science, or a closely related field with thesis or dissertation research * Expertise with deep learning frameworks (PyTorch, TensorFlow) and proficiency in Python * Ability to acquire and maintain a DOE Q-level security clearance Qualifications We Desire * Strong collaboration skills in dynamic, interdisciplinary teams and experience mentoring junior engineers * Excellent written and verbal communication skills for both technical and non-technical audiences * Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment. * Experience and proficiency with: * Developing and deploying large language models, multimodal AI systems, or advanced reinforcement-learning agents * Model optimization techniques: quantization, pruning, distillation * Hardware acceleration * MLOps toolchains for CI/CD, experiment tracking, and monitoring: MLflow, Kubeflow, TFX * C++, CUDA, or other performance-oriented languages/environments * Contributing to open-source AI frameworks or publishing peer-reviewed research * Integrating AI workflows with robotics, experimental facilities, or digital twins * Distributed training frameworks: MPI, Horovod, Ray * Hyperparameter tuning * HPC systems * Implementing secure AI workflows in classified or regulated environments * Knowledge of human-centered AI principles and UX design for model-driven applications * Knowledge of high-assurance AI: formal methods, red-teaming, interpretability, and runtime safety * Ability to obtain and maintain a SCI clearance, which may require a polygraph test. 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! 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. Apply for Job * Careers * Sign In * New User

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: ********************* *These benefits vary by job classification. What Your Job Will Be Like: Sandia s artificial intelligence (AI) team is building the U.S. Department of Energy s (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. As a Postdoctoral Appointee, you will join the Models Pillar team to architect, develop, and deploy fine-tuned reasoning models, domain foundation models, high-fidelity surrogate models, and autonomous agents. Your work will compress mission timelines by enabling scientists and engineers to explore design spaces, evaluate outcomes, and steer experiments and simulations with transparent, high-assurance AI workflows. We anticipate multiple hires for the Models Pillar that collectively span the set of responsibilities and skills described below. Likewise, postdoctoral appointees will be expected to work in conjunction with their Sandia mentors and teams from across Sandia and other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require deep technical insights, considerable innovation, research, and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities + Research, fine-tune, and certify large reasoning models (LLMs, graph neural nets, vision transformers, etc.) for domain tasks in materials science, chemistry, physics, grid controls, and nuclear security + Develop and integrate domain foundation models trained or adapted on DOE simulation, experimental, and production data + Build AI surrogates to accelerate exascale multiphysics simulations, enabling millisecond-scale predictions + Design and implement multi agent frameworks (hypothesizers, planners, executors, retrievers, assessors) with transparent decision graphs, uncertainty quantification, and audit logs + Embed continuous learning pipelines: connect model training/evaluation to live telemetry from HPC clusters, experiments, and autonomous labs + Develop a model repository with metadata, SBOMs, versioning, drift/poisoning surveillance, and periodic recertification + Develop and implement high-assurance controls: least-privilege execution, runtime shields/tripwires, deterministic fallbacks, cryptographic provenance, and enclave attestation for sensitive workloads + Collaborate with Data and Infrastructure teams to align model requirements with data lakehouses, compute fabric, and edge inference systems + Contribute to open-source and internal AI frameworks, toolkits, and best practices for agentic workflows On any given day, you may be called upon to: + Prototype a custom transformer for multisensor fusion in an agile-deterrence scenario + Optimize a surrogate neural network to replace a costly physics submodule in a reactor design simulation + Design a Planner agent that orchestrates HPC jobs, digital-twin simulations, and robotic chemistry runs + Run red-team evaluations to stress-test a foundation model for adversarial robustness and fairness + Package a model into a container with Kubernetes operators for deployment in a classified enclave + Advise domain scientists on prompt engineering and model-based hypothesis generation + Publish and present fundamental insights to laboratory and academic audiences + Present prototype demos and research results to stakeholders across DOE, DoD, IC, and industry Our AI initiative is a laboratory wide effort. Candidates may be considered for placement in other organizations throughout the labs. 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. Qualifications We Require: + Possess, or are pursuing, a PhD in Computer Science, Electrical Engineering, Mathematics or a related science or engineering field, PhD must be conferred within five years prior to + Significant research in AI, ML, data science, or a closely related field with thesis or dissertation research + Expertise with deep learning frameworks (PyTorch, TensorFlow) and proficiency in Python + Ability to acquire and maintain a DOE Q-level security clearance Qualifications We Desire: + Strong collaboration skills in dynamic, interdisciplinary teams and experience mentoring junior engineers + Excellent written and verbal communication skills for both technical and non-technical audiences + Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment. + Experience and proficiency with: + Developing and deploying large language models, multimodal AI systems, or advanced reinforcement-learning agents + Model optimization techniques: quantization, pruning, distillation + Hardware acceleration + MLOps toolchains for CI/CD, experiment tracking, and monitoring: MLflow, Kubeflow, TFX + C++, CUDA, or other performance-oriented languages/environments + Contributing to open-source AI frameworks or publishing peer-reviewed research + Integrating AI workflows with robotics, experimental facilities, or digital twins + Distributed training frameworks: MPI, Horovod, Ray + Hyperparameter tuning + HPC systems + Implementing secure AI workflows in classified or regulated environments + Knowledge of human-centered AI principles and UX design for model-driven applications + Knowledge of high-assurance AI: formal methods, red-teaming, interpretability, and runtime safety + Ability to obtain and maintain a SCI clearance, which may require a polygraph test. 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! 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: 696221 Job Family: 92 Regular/Temporary Position: T Full/Part-Time Status: F

The Machine Intelligence, Neural Design (MIND) team is leading Apple-wide innovation on HW/SW co-design for efficient inference. We are seeking a highly motivated, results-driven team player with a strong background in machine learning and systems, along with hands-on software development experience. The role focuses on optimizing mobile-cloud hybrid inference for multi-modal large language models (LLMs), with emphasis on both systems-level innovation and ML co-design. Our mission is to advance the state-of-art in ML optimization techniques for efficient inference. Thus, the ideal candidate for this position is a researcher and engineer who will relentlessly push the existing boundary with out-of-box thinking, and materialize the idea with the very details to impact both Apple partners and research communities. * Research and develop ML optimization techniques for efficient on-device ML * Materialize the ideas/concepts and demonstrate the practical value in an industrial environment * Work with HW/SW teams to productize the outcome of the work Experience with Large-scale model training/tuning Experience with processing multiple modalities (i.e., audio/vision) with Foundational Models. Experience with backend compilation, HW/SW co-design, and/or performance optimization Understanding ML accelerations and architectures Expert in Python/PyTorch programming Quality publications in System optimization (e.g., MICRO, ASPOLOS, OSDI, NSDI, MobiSys etc). Quality publications in ML optimization (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc). Excellent communication and writing skills Ph.D. in CS/CE or related fields

This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH) of electrochemical energy storage devices (diagnosis) and predict the SOH into the future (prognosis). The primary projects this postdoc will contribute to relate to lithium-ion batteries, advanced lead-acid batteries, and flow cells with applications including long duration energy storage and electrified aviation. Each project will involve close collaboration with domain experts to leverage emerging computing techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be to design and implement new techniques for the diagnosis and prognosis of electrochemical energy storage systems. While experience in electrochemical modeling is a benefit, ideal candidates will be expected to work together with domain experts rather than possess all required expertise themselves. Beyond the listed projects, the candidate will be able to contribute to other large-team scientific projects in materials engineering, chemistry, and beyond at Argonne National Laboratory. **Position Requirements** Required skills: + Recently completed PhD (within the last 3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines + Knowledge of deep learning techniques for time-series and image data + Experience with applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems + Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software + Good scientific productivity, as demonstrated by publications and conference presentations + Effective oral and written communication skills + Ability to collaborate with domain subject matter experts professionally and productively + Ability to model Argonne's core values of impact, respect, safety, integrity, and teamwork. Desirable skills: + Expertise in physics-based modeling, ideally electrochemical modeling + Effective oral and written communication skills + Experience with analyzing large and/or complex data sets **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH) of electrochemical energy storage devices (diagnosis) and predict the SOH into the future (prognosis). The primary projects this postdoc will contribute to relate to lithium-ion batteries, advanced lead-acid batteries, and flow cells with applications including long duration energy storage and electrified aviation. Each project will involve close collaboration with domain experts to leverage emerging computing techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be to design and implement new techniques for the diagnosis and prognosis of electrochemical energy storage systems. While experience in electrochemical modeling is a benefit, ideal candidates will be expected to work together with domain experts rather than possess all required expertise themselves. Beyond the listed projects, the candidate will be able to contribute to other large-team scientific projects in materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Required skills: Recently completed PhD (within the last 3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines Knowledge of deep learning techniques for time-series and image data Experience with applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software Good scientific productivity, as demonstrated by publications and conference presentations Effective oral and written communication skills Ability to collaborate with domain subject matter experts professionally and productively Ability to model Argonne's core values of impact, respect, safety, integrity, and teamwork. Desirable skills: Expertise in physics-based modeling, ideally electrochemical modeling Effective oral and written communication skills Experience with analyzing large and/or complex data sets Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here to view Argonne employee benefits! As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

* This position is eligible for a $500 ZelTech Non-Employee Referral fee. Contact ZelTech Recruiters for questions concerning this matter. * Join Our Talent Community to Stay Connected! Job Summary: The member would be part of a government and contractor team that is charged with assessing the effectiveness of a suite of technical intelligence collections and analysis programs to satisfy some of the nation's most threatening and intelligent priorities. They will assist with writing final deliverable products for submissions to groups like Office of the Director of National Intelligence (ODNI), as well as assistance with organization of multiple working groups, data calls and intelligence. Responsibilities: Provide assistance with organizational logistics and drafting of an Intelligence Community Analysis of Alternatives. Present relevant factors (both verbal and written) so that technical information is understood by non-technical end users. Respond to inquiries from customers, leadership, regulatory agencies, or members of the IC community. Work with senior management staff to determine and implement specific technical needs and priorities of the organization. Participate in technical solutions reviews and analysis of alternatives. Prepare reports and presentations for both senior and technical staff. Performs other duties as assigned to accomplish mission goals. Requirements: Must be a US citizen. BS in engineering, science or technical degree and 10 or more years of relevant experience. Active TS/SCI with Poly clearance. Knowledge and experience in the application and adaptation of Commercial-Off- the-Shelf (COTS) products to meet government system and CONOP requirements. Experience drafting technical documents. Exceptional multitasking and communication skills. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to manage time and resources. Successful background and drug screening check. Preferred Requirements: MS in engineering or science or technical degree and 8 or more years of relevant experience. Experience with the IC capability requirements process. Previous experience working with the DIA. Previous military intelligence experience. Physical Demands or Work Environment: The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The majority of the time is spent in an office setting. Occasionally lift and/or move up to 25 pounds. Specific vision abilities required include close vision, distance, vision, color vision and ability to adjust focus. About ZelTech: Founded in 1988 by Ret. Col. Jack L. Ezzell Jr., Zel Technologies is a trusted leader in national security, providing comprehensive research, development, engineering, and operational support to the Department of Defense, the Intelligence Community, and federal agencies. Originally focused on leveraging operational and software expertise to improve time-critical targeting capabilities for the military, the company advanced its capabilities to provide scientific and HUMINT expertise for CBRNE collection and analysis. In the wake of 9/11, Zel Technologies rapidly expanded its capabilities to provide turnkey ISR support services to US Special Operations Forces (SOF), as well as advanced technical & operational intelligence, physical & data science, and engineering support services to the greater Intelligence and SOF Communities supporting global counterterrorism and CWMD operations. Today, Zel Technologies remains at the forefront of intelligence missions, advancing CWMD and global counterterrorism efforts, while also addressing emerging threats posed by near-peer adversaries. Our team remains committed to delivering adaptive, innovative, and cost-effective solutions across multiple domains, in alignment with the mission priorities of the U.S. Government and its partner nations. Our Mission: Through our commitment to innovation and quality, our skilled teams deliver robust, technology driven solutions and insights that empower our customers to overcome complex challenges and achieve their mission objectives. Our Workforce: ZelTech team members represent a wide range of backgrounds, skills, experience, and personalities bound together by common objectives and mutual respect. You will join a caring community of professional, including many military veterans who challenge and support each other in seeking the right solutions to important matters. Benefits: Medical, Dental and Vision Insurance 401k immediate vesting with company match Flexible Spending Accounts Health Savings Account with company contributions Employee Assistance Program (EAP) Bonuses for performance Voluntary life/accidental death & dismemberment Educational assistance and special training programs Voluntary benefits (accidental, critical illness, whole life) Group life insurance (Company paid) Short-term and Long-term Disability Insurance (Company paid) Paid Time Off (PTO), Holiday Leave, Jury Duty, and Military Leave Health and fitness reimbursement Referral bonuses Employee discounts on various services and products Equal Opportunities: ZelTech is an equal opportunity employer and does not discriminate based on race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.

* This position is eligible for a $500 ZelTech Non-Employee Referral fee. Contact ZelTech Recruiters for questions concerning this matter. * Join Our Talent Community to Stay Connected! The member would be part of a government and contractor team that is charged with assessing the effectiveness of a suite of technical intelligence collections and analysis programs to satisfy some of the nation's most threatening and intelligent priorities. They will assist with writing final deliverable products for submissions to groups like Office of the Director of National Intelligence (ODNI), as well as assistance with organization of multiple working groups, data calls and intelligence. Responsibilities: * Provide assistance with organizational logistics and drafting of an Intelligence Community Analysis of Alternatives. * Present relevant factors (both verbal and written) so that technical information is understood by non-technical end users. * Respond to inquiries from customers, leadership, regulatory agencies, or members of the IC community. * Work with senior management staff to determine and implement specific technical needs and priorities of the organization. * Participate in technical solutions reviews and analysis of alternatives. * Prepare reports and presentations for both senior and technical staff. * Performs other duties as assigned to accomplish mission goals. Requirements: * Must be a US citizen. * BS in engineering, science or technical degree and 10 or more years of relevant experience. * Active TS/SCI with Poly clearance. * Knowledge and experience in the application and adaptation of Commercial-Off- the-Shelf (COTS) products to meet government system and CONOP requirements. * Experience drafting technical documents. * Exceptional multitasking and communication skills. * Ability to define problems, collect data, establish facts, and draw valid conclusions. * Ability to manage time and resources. * Successful background and drug screening check. Preferred Requirements: * MS in engineering or science or technical degree and 8 or more years of relevant experience. * Experience with the IC capability requirements process. * Previous experience working with the DIA. * Previous military intelligence experience. Physical Demands or Work Environment: The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. * The majority of the time is spent in an office setting. * Occasionally lift and/or move up to 25 pounds. * Specific vision abilities required include close vision, distance, vision, color vision and ability to adjust focus. About ZelTech: Founded in 1988 by Ret. Col. Jack L. Ezzell Jr., Zel Technologies is a trusted leader in national security, providing comprehensive research, development, engineering, and operational support to the Department of Defense, the Intelligence Community, and federal agencies. Originally focused on leveraging operational and software expertise to improve time-critical targeting capabilities for the military, the company advanced its capabilities to provide scientific and HUMINT expertise for CBRNE collection and analysis. In the wake of 9/11, Zel Technologies rapidly expanded its capabilities to provide turnkey ISR support services to US Special Operations Forces (SOF), as well as advanced technical & operational intelligence, physical & data science, and engineering support services to the greater Intelligence and SOF Communities supporting global counterterrorism and CWMD operations. Today, Zel Technologies remains at the forefront of intelligence missions, advancing CWMD and global counterterrorism efforts, while also addressing emerging threats posed by near-peer adversaries. Our team remains committed to delivering adaptive, innovative, and cost-effective solutions across multiple domains, in alignment with the mission priorities of the U.S. Government and its partner nations. Our Mission: Through our commitment to innovation and quality, our skilled teams deliver robust, technology driven solutions and insights that empower our customers to overcome complex challenges and achieve their mission objectives. Our Workforce: ZelTech team members represent a wide range of backgrounds, skills, experience, and personalities bound together by common objectives and mutual respect. You will join a caring community of professional, including many military veterans who challenge and support each other in seeking the right solutions to important matters. Benefits: * Medical, Dental and Vision Insurance * 401k immediate vesting with company match * Flexible Spending Accounts * Health Savings Account with company contributions * Employee Assistance Program (EAP) * Bonuses for performance * Voluntary life/accidental death & dismemberment * Educational assistance and special training programs * Voluntary benefits (accidental, critical illness, whole life) * Group life insurance (Company paid) * Short-term and Long-term Disability Insurance (Company paid) * Paid Time Off (PTO), Holiday Leave, Jury Duty, and Military Leave * Health and fitness reimbursement * Referral bonuses * Employee discounts on various services and products Equal Opportunities: ZelTech is an equal opportunity employer and does not discriminate based on race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.

About the Role We are looking for an innovative Artificial Intelligence Researcher to join our growing AI/ML team. In this role, you will design, experiment, and implement advanced AI models that solve complex business and technical challenges. You will work closely with engineering, product, and data science teams to bring cutting-edge research into real-world applications. This position is ideal for someone passionate about pushing the boundaries of machine intelligence and contributing to impactful research. A Day in the Life * Conduct research in advanced AI/ML areas such as NLP, computer vision, deep learning, reinforcement learning, and generative AI. * Develop new algorithms and improve existing model architectures to enhance performance and accuracy. * Build prototypes and POCs (proof-of-concept) to demonstrate the feasibility of innovative AI solutions. * Analyze large datasets to train, fine-tune, and evaluate models using state-of-the-art frameworks. * Work with cross-functional teams to transition research outputs into production systems. * Stay updated on emerging AI trends, technologies, and research publications. * Document findings and contribute to whitepapers, patents, or conference publications. * Participate in model validation and evaluations, responsible AI practices, and performance optimization. What You Need * Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field. * 2-5 years of experience in AI/ML research or applied machine learning roles. * Strong knowledge of deep learning architectures (Transformers, CNNs, RNNs, etc.). * Hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, or JAX. * Solid understanding of statistics, probability, algorithms, and optimization techniques. * Experience working with large datasets and training models on cloud environments (AWS, GCP, Azure). * Strong problem-solving skills and the ability to work independently on research tasks. Preferred Qualifications * Experience with large language models, generative AI, or foundation model fine-tuning. * Publication record in AI/ML conferences (ICML, NeurIPS, ICLR, CVPR, ACL, etc.). * Familiarity with MLOps tools and scalable model deployment workflows. * Contributions to open-source machine learning libraries. * Experience collaborating in multi-disciplinary teams. We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer * Generous PTO Benefits: Enjoy PTO benefit accrual of 22 days per year. * Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. * Rewards & Recognition: Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance. Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance. * Insurance Benefits: We offer medical, dental, and vision benefits along with 100% company-sponsored short and long-term disability and basic life insurance. Legal aid and pet insurance options are available at a discounted rate. Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at *****************. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure- extending the human touch in healthcare. For more information, visit ******************* Check us out on YouTube, Glassdoor, LinkedIn, Instagram, and the Web.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Attacker Engineering team validates Stripe's defenses and measures security controls by providing actionable attacker-derived products, datasets, and insights into real attacks. The team is distributed, working primarily across US time zones but will regularly coordinate with stakeholders in Europe and Asia. What you'll do We are seeking a skilled and motivated cyber intelligence professional who will conduct comprehensive research and analysis of cyber threat intelligence data from diverse sources. As part of our team, you will provide valuable insights and recommendations to support informed decision-making and effective risk mitigation strategies. Your ability to communicate complex cyber threat intelligence findings to non-technical stakeholders is crucial in ensuring its understanding and application. Collaborating with internal teams and external partners, you will play a vital role in enhancing security and staying ahead of emerging cyber threats. Your dedication to continuous improvement and alignment with organizational goals will contribute to the overall effectiveness of our intelligence operations. Join us in our mission to safeguard our organization and stakeholders from evolving cyber risks. Responsibilities * Collaborate closely with relevant stakeholders, such as product teams, engineering teams, and business units, to understand their intelligence needs and requirements. * Proactively identify and analyze potential cyber-related threats and risks to the organization by conducting comprehensive research and analysis using various intelligence sources and methodologies. * Provide timely and actionable intelligence reports and briefings to key stakeholders, including executives, business leaders, and operational teams, supporting informed decision-making and risk mitigation strategies. * Monitor and analyze threat intelligence feeds, open-source intelligence, social media platforms, trust groups, and other relevant sources to identify emerging cyber threats, attack trends, and potential threat actors. * Conduct in-depth investigations and analyses of security incidents, data breaches, and cyber attacks to determine the nature, scope, and impact of the incidents and provide recommendations for response and remediation. * Develop and maintain threat profiles and actor attribution information to enhance the organization's understanding of threat landscapes and potential adversaries. * Collaborate with internal teams and external partners to share and exchange threat intelligence, improving collective defenses and response capabilities. * Stay current with the latest trends, techniques, and tools in cyber threat intelligence and contribute to continuously improving intelligence practices and methodologies within the organization. * Develop relationships with external intelligence providers, industry peers, and trusted communities to stay informed about emerging threats and share relevant intelligence. * Participate in incident response activities, providing intelligence support to effectively detect, investigate, and respond to cyber incidents and contribute to post-incident analysis and lessons learned exercises. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements * 5+ years of experience in cyber threat intelligence or a related area * Bachelor's degree in a relevant field, such as Cybersecurity, Computer Science, or a related discipline * In-depth knowledge and understanding of the cyber threat landscape, attack vectors, and emerging trends in the field of cybersecurity * Demonstrated experience collecting, analyzing, and interpreting intelligence from various sources, including open-source intelligence, threat feeds, social media, and underground forums * Proficiency in utilizing intelligence analysis tools and technologies to process, visualize, and present data in a meaningful and actionable manner * Strong understanding of intelligence methodologies, frameworks, and best practices, with the ability to apply them effectively in a practical setting Preferred qualifications * Excellent written and verbal communication skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders * Proven ability to work collaboratively with cross-functional teams and stakeholders to identify intelligence requirements and provide timely and relevant intelligence support * Familiarity with relevant industry standards and regulations about cyber threat intelligence and data privacy * Continuous learning mindset with a desire to stay up-to-date with the latest threats, intelligence techniques, and tools in the cybersecurity field Hybrid work at Stripe This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office expectations Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.