Argonne Leadership Computing Facility
scientific discovery
ComputerScientist/AI
Neural analysis suggests this role is
optimal for Mid candidates.
“Computer Scientist/AI at Argonne Leadership Computing Facility. Skills: AI/ML, HPC systems, scientific workflows, agentic systems, large language models. enabling AI for science. building agentic systems that plan and execute scientific workflows on ALCF systems”
Industry & Context.
solve some of the world’s largest and most complex problems
subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, background check, obtain a government access authorization
What They're Looking For.
Must Have
Bachelor's and 5+ years of experience or a Masters and 3+ years of experience or a PhD and 0+ years of experience, Educational background in computer science, computational science, a physical science, engineering, or related field, Comprehensive programming in one or more languages such as Python, C/C++, Experience with at least one AI framework (e. g. PyTorch), Experience with large language models, large language model frameworks, agentic frameworks, Ability to create, maintain, and support high-quality software, Work with and contribute to domain-specific software and services, Experience with version control software such as git, Ability to work collaboratively in a fast-paced environment, Effective written and oral communications skills, Ability to model Argonne’s core values of impact, safety, respect, integrity and teamwork
Nice to Have
Experience with complex, large-scale scientific workflows, Experience with running simulations or AI workflows on supercomputers
What You'll Do.
enabling AI for science
building agentic systems that plan and execute scientific workflows on ALCF systems
developing services/APIs that allow AI models to interact with simulations
contribute to domain-specific software and services
engage with science application teams
contribute to broader scientific initiatives
How You'll Work.
Team & Collaboration
highly collaborative environment involving science application teams, academia and industry, as well as other national labs and agencies; work collaboratively in a fast-paced environment
Communication Scope
Effective written and oral communications skills
Full Job Description
The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise. The ALCF has an opening for a Computer Scientist working to enable AI for science, specifically targeting agentic workflows involving diverse science domains, diverse data, and high-performance computing. This position entails building agentic systems that plan and execute scientific workflows on ALCF systems, and developing services/APIs that allow AI models to interact with simulations, data, and job schedulers. These solutions will be required to be highly usable and stable for users, but also be highly adaptable to keep pace with the rapidly-evolving state of AI and science. We welcome candidates with strengths in AI/ML, HPC systems, or scientific workflows, with opportunities to grow across areas. The successful candidate will join the Data Services and Workflows group, which focuses on scientific workflows that combine large-scale data, simulations, analysis, and AI. The group--and this position-- involves work in a highly collaborative environment involving science application teams, academia and industry, as well as other national labs and agencies, to solve some of the world’s largest and most complex problems in science and engineering. The candidate will engage with science application teams and contribute to broader scientific initiatives. **Position Requirements** **Required skills and qualifications:** * RD2: Bachelor's and 5+ years of experience or a Masters and 3+ years of experience or a PhD and 0+ years of experience * Educational background in computer science, computational science, a physical science, engineering,
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