AI Infrastructure and Advanced Computing Scientist (Scientist 3/4)

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.

• 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.

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People’s Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People’s Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents (“green card” holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

Where You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

§ PPO or High Deductible medical insurance with the same large nationwide network

§ Dental and vision insurance

§ Free basic life and disability insurance

§ Paid childbirth and parental leave

§ Award-winning 401(k) (6% matching plus 3.5% annually)

§ Learning opportunities and tuition assistance

§ Flexible schedules and time off (PTO and holidays)

§ Onsite gyms and wellness programs