AI/Machine Learning Engineer
About The Position
The Argonne Leadership Computing Facility (ALCF) is looking for an AI/Machine Learning Software Engineer to help build, deploy, and scale production-quality AI services that support cutting-edge scientific discovery. This is a hands-on engineering role for someone who enjoys turning powerful ideas into robust, usable systems. You will help productize AI capabilities at ALCF by building software services, deployment pipelines, and operational infrastructure that make advanced AI tools accessible, reliable, and scalable for researchers. Your work will directly support scientific users working at the frontier of AI, high-performance computing, and data-driven discovery. 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.
Requirements
- 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
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Comprehensive benefits are part of the total rewards package.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
