Applied AI Software Developer; Software Developer

What You Will Do

This position is for an Applied AI Software Developer in the Nuclear Weapons Cyber Assurance Laboratory. The role includes developing and deploying AI‑enabled software systems to support hardware assurance, software assurance, cyber‑physical resilience, and operational technology mission areas aligned with the LANL weapons mission. The selected candidate will contribute to scalable AI applications and operational workflows, working in collaborative engineering environments on modern software development workflows.

At this level, you will work as part of a multidisciplinary engineering team to develop, implement, and maintain AI‑enabled software applications and workflows supporting assurance and operational mission objectives. Responsibilities include developing AI‑enabled applications using modern machine learning and large language model technologies, implementing scalable software systems in local and distributed compute environments, and integrating AI capabilities into operational workflows. You will actively participate in the application lifecycle including implementation, testing, deployment, and sustainment in Linux‑based environments, using containerized workflows, source control, and CI/CD practices.

In addition to all lower‑level responsibilities, you will demonstrate advanced technical capability in the design, implementation, and deployment of purpose‑built AI software systems and modern software engineering practices. You are expected to contribute independently to software architecture, AI workflow implementation, development standards, and engineering execution across teams. Responsibilities may include technical direction, mentoring junior developers, and guiding implementation approaches for mission‑focused AI capabilities.

• Proficiency in Python and modern AI/ML frameworks such as PyTorch, Tensor Flow, Pandas, Num Py, Sci Py.
• Experience developing and deploying AI‑enabled applications using large language models (LLMs), retrieval‑augmented generation (RAG), agentic workflows, or similar technologies.
• Experience building software in Linux environments using Git, Git Lab, containerization, and CI/CD pipelines.
• Experience deploying applications to GPU‑enabled local and distributed compute environments.
• Strong collaborative skills in multidisciplinary software development teams.
• Excellent communication of technical concepts to both technical and non‑technical stakeholders.
• Ability to obtain a DOE Q‑clearance.

• Developed and deployed purpose‑built AI applications in operational, research, or production environments.
• Contributed to formal software development lifecycle activities: testing, code review, deployment workflows, and development standards.
• Designed or implemented scalable AI workflows and distributed AI application architectures.
• Independently contributed to technical implementation efforts within collaborative engineering teams.
• Evaluated hardware, software, and infrastructure requirements for AI application development and deployment.

Software Developer 2 requires a bachelor’s degree in a related technical field and 5 years of related experience, or an equivalent combination of education and experience.

Software Developer 3 requires a bachelor’s degree in a related technical field and 8 years of related experience, or an equivalent combination of education and experience.

• Experience in AI applications for cybersecurity, assurance, operational technology, or cyber‑physical systems.
• Experience with Kubernetes, Open Shift, distributed computing, or scalable AI infrastructure.
• Experience developing modern APIs, backend services, or AI‑enabled application frameworks.
• Familiarity with secure software development practices or Dev Sec Ops .
• Knowledge of operational technology, industrial control systems, embedded systems, or cyber‑physical systems.
• Experience with GPU computing environments and scalable AI deployment workflows.
• Active DOE Q clearance (preferred).

Onsite in…