CommunicationOperationsWorkflow ManagementLeadershipTeamworkAutomationCloud-Native ComputingSoftware EngineeringPython

This is an opportunity to work at the frontier of AI for science and the Department of Energy Genesis mission, where large-scale machine learning, scientific data, simulation, and leadership-class supercomputers come together to enable new modes of discovery. You will join the AI group - a highly collaborative, multidisciplinary environment and work alongside experts in AI, simulation, computer science, applied mathematics, and domain science.If you are excited by building real systems, improving developer workflows, deploying services at scale, and supporting mission-driven research, this is a unique opportunity to contribute to one of the world's leading computing environments.

In this role you can expect to:

• Design, build, deploy, and maintain AI-enabled software services that support scientific and operational use cases at ALCF
• Build and improve CI/CD pipelines , automated testing workflows, and engineering processes for AI software and services
• Support deployment and operations in containerized and orchestration environments , including Kubernetes
• Develop internal tools, APIs, and platform services that improve usability, access, and reproducibility for AI workflows
• Conduct research and development aligned with Argonne's strategic mission in computation, AI, and scientific discovery.
• Contribute to a team culture that values scientific excellence, collaboration, innovation, and inclusive professional growth., CommunicationOperationsWorkflow ManagementLeadershipTeamworkAutomationCloud-Native ComputingSoftware EngineeringPython (Programming Language)Test AutomationScalabilityNode.js (Javascript Library)InnovationResearchComputer ScienceApplication Programming Interface (API)CI/CDKubernetesArtificial IntelligenceAuthorization (Computing)Machine LearningUsabilityC++ (Programming Language)GitlabGithubApplied MathematicsPyTorch (Machine Learning Library)SupercomputingInfrastructure Automation

• RD2: Bachelor's degree and 5+ years of experience, or Master's degree and 3+ years of experience, or PhD and 0+ years of experience, or equivalent experience
• Educational background in computer science, software engineering, computational science, or a related field
• Experience designing, building, and maintaining production software systems
• Strong programming skills in one or more languages such as Python, C, C++, Rust
• Experience with one or more AI frameworks such as PyTorch and vLLM.
• Experience building or maintaining CI/CD pipelines and automated software delivery workflows
• Good communication skills, both verbal and written.
• Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred Qualifications:

• Experience with model serving , inference systems, or ML platform components
• Experience with Kubernetes operators, Helm, Argo, GitLab CI, GitHub Actions , or related tooling
• Experience with cloud-native tools , infrastructure automation, or service observability
• Experience with running AI workloads on large-scale systems
• Experience with multi-node or multi-accelerator execution and optimization.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment. Compensation:$94,486 - $147,399 / yr The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Remote