Los Alamos National Laboratory

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

Los Alamos National Laboratory • $128K — $266K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Advanced knowledge in AI/ML systems, high-performance computing, or distributed systems.
  • Demonstrated experience in developing and integrating complex computing systems in Linux.
  • Experience in designing reproducible computational experiments and analyzing system performance.
  • Proven technical leadership skills in managing complex projects and mentoring teams.
  • Successful collaboration across research, operational, and security organizations.

Responsibilities

  • Lead the evaluation and integration of new computing architectures and accelerators.
  • Architect AI services for various workflows in both on-premises and cloud environments.
  • Develop experiments to benchmark performance and mission suitability.
  • Collaborate with various stakeholders to define project requirements and mitigate risks.
  • Enhance applied-AI delivery with consultation, documentation, and training.

Benefits

  • PPO or high deductible medical insurance with a nationwide network.
  • Free basic life and disability insurance.
  • Award-winning 401(k) with matching contributions.
  • Flexible schedules and generous paid time off.
  • Extensive relocation packages for moves beyond 50 miles.
Full Job Description
Description

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

Location Los Alamos, NM, US

Organization Name CAI-1/Applied Computer Science Group

Minimum Salary

Maximum Salary

What You Will Do
This position is open for external candidates only to apply.

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.

What You Need

Minimum Job Requirements:
  • 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.

Additional Job Requirements for Scientist 4
  • 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.

Desired Qualifications:
  • 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.

Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.

Note to Applicants: Please submit a résumé or CV and a cover letter addressing the minimum requirements and, if seeking consideration at the Scientist 4 level, the additional Scientist 4 requirements. Highlight representative technical achievements, your role in team results, the scale and impact of your work, and examples of technical leadership or mentoring.

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

§ Extensive relocation packages (outside a 50 mile radius)

Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance, and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.

*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 for additional information.

New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.

Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.

Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Employment Status Full Time

Appointment Type Regular

Regular

Contact Details

Contact Name

Email

Work Telephone

About Los Alamos National Laboratory

Los Alamos National Laboratory (LANL) is a United States Department of Energy national laboratory initially organized during World War II for the design of nuclear weapons as part of the Manhattan Project. It is located a short distance northwest of Santa Fe, New Mexico in the southwestern United States. LANL conducts research in fields such as national security, space exploration, renewable energy, medicine, nanotechnology, and supercomputing. It is the largest institution of its kind in the world. LANL is managed and operated by Triad National Security, LLC, which is composed of Battelle Memorial Institute, the University of California, and the Texas A&M University System.
Learn more about Los Alamos National Laboratory
Size
12,000 employees
Industry
Founded
1943

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