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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Infrastructure and Advanced Computing Scientist (Scientist 3/4) - **Company:** Los Alamos National Laboratory - **Location:** Los Alamos, NM, United States - **Salary:** $128,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Data as a Services, DevOps, Distributed Systems, Linux System Administration, OpenShift, Systems Development Life Cycle, Software Engineering, Software Systems, Systems Integration, AI Infrastructure, Graphics Processing Unit (GPU), Cloud Platform System, High Performance Computing, Retrieval-Augmented Generation, Large Language Models, Parallel Computation, Computerised Systems, HybridCloud, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations - **Published:** September 26, 2026 - **Apply:** https://dejobs.org/x/x/7F8D801D193C4EF68831506C65F5C0CA/job/ ## About the Role * Technical expertise: Advanced knowledge in one or more relevant areas, such as AI/ML systems, high-performance computing, computer architecture, distributed systems, accelerated computing, cloud-native platforms, or scientific software infrastructure. * Systems development and integration: Demonstrated experience developing, integrating, or evaluating complex computing systems in Linux environments, including multiple layers such as compute, storage, networking, containers, orchestration, schedulers, model runtimes, data services, or monitoring. * Experimental evaluation: Experience designing reproducible computational experiments, analyzing performance or system behavior, and using results to guide architecture or technology decisions. * Technical leadership: Demonstrated ability to lead complex technical projects, establish scope and priorities, coordinate multidisciplinary contributors, manage risks, and deliver results; experience mentoring staff or students. * Collaboration and communication: Ability to work effectively across research, operational, security, and program organizations and communicate technical findings, tradeoffs, and recommendations through clear writing and presentations., * Institutional impact: Significant technical achievements that have advanced AI, computing, research, or mission capabilities at a Laboratory-wide or comparable institutional scale. * Technical strategy: Demonstrated experience establishing architectures, standards, roadmaps, or investment direction for complex computing capabilities. * Cross-organizational leadership: Success leading large, multidisciplinary, high-risk efforts and serving as an authority for consequential technical decisions. * Capability development: Demonstrated success building teams, funded programs, or strategic partnerships and advising senior organizational or government leaders. Education/Experience Scientist 3: A master's degree in a relevant STEM discipline from an accredited institution and six years of relevant experience, or an equivalent combination of directly applicable education and experience. Scientist 4: A master's degree in a relevant STEM discipline from an accredited institution and twelve years of relevant experience, or an equivalent combination of directly applicable education and experience., * Experience with GPUs or other accelerators, heterogeneous computing, parallel programming, performance analysis, or AI frameworks. * Experience with Kubernetes or OpenShift, containers, HPC workload managers, DevOps practices, and hybrid cloud/HPC environments. * Experience with large-language-model inference, AI gateways, retrieval-augmented generation, vector databases, document intelligence, agentic systems, or AI-assisted software development. * Experience establishing shared research-computing or AI services, supporting users, and coordinating cybersecurity, authorization, data-governance, or access requirements. * Experience developing proposals, working with technology vendors or external collaborators, and translating evaluation results into technical plans or investments. * Ph.D. in computer science, computational science, data science, applied mathematics, engineering, or a related field. Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management., *Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 (https://www.directives.doe.gov/directives-documents/400-series/0472.2-border-a-chg1-ltdchg/@@images/file) for additional information. ## Description Help shape the AI and advanced-computing capabilities that enable scientific discovery and national-security missions. The Applied Computer Science Group (CAI-1) is seeking a Scientist 3/4 to provide technical leadership across emerging-computing testbeds, institutional AI infrastructure, and applied-AI projects. In this role, you will combine hands-on technical work with cross-organizational leadership. You will evaluate new computing technologies, develop secure and scalable AI services, and help Laboratory teams turn promising AI concepts into useful, sustainable capabilities. You will: * Lead the integration and evaluation of emerging computing architectures, accelerators, and software stacks for scientific simulation, data analysis, and AI. * Architect and mature AI services that span model serving, retrieval and agentic workflows, GPU resources, orchestration, observability, and on-premises or cloud environments. * Develop reproducible experiments and benchmarks to assess performance, scalability, reliability, usability, cost, and mission suitability. * Partner with researchers, computing operations, cybersecurity organizations, and vendors to define requirements, resolve technical risks, and move prototypes into reliable use. * Strengthen applied-AI delivery through technical consultation, project triage, reusable components, documentation, training, mentoring, and effective handoff to mission teams. This position may be filled at either the Scientist 3 or Scientist 4 level, depending on the selected candidate's qualifications. Scientist 3 - $128,000-$215,900 At the Scientist 3 level, you will lead major technical efforts and multidisciplinary project teams. Scientist 4 - $153,600-$266,500 At the Scientist 4 level, you will serve as a Laboratory-level technical authority, establish strategy and architecture across organizations, and build institutional capabilities and programs. ## Related Videos - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [This Is Not Your Father's .NET](https://www.wearedevelopers.com/videos/967-this-is-not-your-father-s-net) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Who Do We Hire Now?](https://www.wearedevelopers.com/videos/100601-who-do-we-hire-now) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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