Applied AI Software Developer (Software Developer 2/3)

Los Alamos National Laboratory is seeking an Applied AI Software Developer (Software Developer 2/3) to help design and deploy AI-enabled software solutions for assurance and cyber-physical resilience within the Nuclear Weapons Cyber Assurance Laboratory (NWCAL). This role sits at the crossroads of software engineering and advanced AI, addressing mission-critical challenges in hardware/software assurance and operational resilience through scalable, production-ready applications.

Location

Los Alamos, NM (onsite)

Salary

USD 87,800 - 172,200 per yearly

Requirements

• Bachelor's degree in a relevant technical field and 5 years related experience; or, an equivalent combination of education and experience directly related to the occupation.
• Bachelor's degree in a relevant technical field and 8 years related experience; or, an equivalent combination of education and experience directly related to the occupation.
• Active DOE Q Clearance
• Ability to obtain a DOE Q-clearance is required
• Knowledge and experience programming in Python with modern AI/ML frameworks and libraries such as PyTorch, TensorFlow, Pandas, NumPy, SciPy, or similar technologies
• Knowledge and experience developing and deploying AI-enabled applications utilizing technologies such as large language models (LLMs), retrieval augmented generation (RAG), agentic workflows, model orchestration frameworks, or related AI technologies
• Knowledge and experience developing software within Linux environments using modern software development tools and workflows including Git, GitLab, containerization technologies, and CI/CD pipelines
• Knowledge and experience developing applications utilizing GPU-enabled local and distributed compute environments
• Knowledge and experience working within collaborative software development environments utilizing modern development standards and engineering best practices
• Ability to work effectively within multidisciplinary technical teams consisting of software developers, engineers, analysts, and scientific staff
• Ability to communicate technical concepts and development activities to both technical and non-technical stakeholders

Responsibilities

• Collaborate as part of a multidisciplinary engineering team to design, implement, and maintain AI-enabled software applications and workflows that support assurance and operational mission objectives
• Develop AI-enabled applications using modern machine learning and large language model technologies
• Build scalable software systems for local and distributed compute environments
• Integrate AI capabilities into operational workflows
• Contribute to software development activities across the application lifecycle including implementation, testing, deployment, and sustainment
• Develop within Linux-based environments using modern development tools, containerized workflows, source control systems, and CI/CD practices
• Address technically challenging mission problems involving AI systems, cyber-physical environments, and operational assurance capabilities
• Demonstrate advanced technical capability in the development and implementation of applied AI software systems and modern software engineering practices
• Contribute to the design, implementation, and deployment of purpose-built AI-enabled applications operating in production or operational environments
• Take on independent technical contributions to software architecture, AI workflow implementation, development standards, and engineering execution across collaborative teams
• Apply formal software development lifecycle practices including source control, testing methodologies, deployment workflows, and maintainable software design principles
• Provide technical direction, mentorship for less experienced developers, and guidance on implementation approaches for mission-focused AI capabilities

Technologies

• Python
• PyTorch
• TensorFlow
• Pandas
• NumPy
• SciPy
• Large language models (LLMs)
• Retrieval augmented generation (RAG)
• Agentic workflows
• Model orchestration frameworks
• Linux
• Git
• GitLab
• Containerization technologies
• CI/CD pipelines
• GPU-enabled compute environments
• Kubernetes
• OpenShift
• Distributed computing platforms
• Scalable AI infrastructure technologies

Benefits

• Health insurance (PPO or High Deductible)
• Dental and vision insurance
• Life and disability insurance
• Paid childbirth and parental leave
• 401(k) with matching
• Tuition assistance
• Flexible schedules and paid time off
• Onsite gyms and wellness programs
• Relocation assistance/packages