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, or related field
- Comprehensive experience 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 is essential
- 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
Preferred skills and qualifications:
- Experience with complex, large-scale scientific workflows
- Experience with running simulations or AI workflows on supercomputers
This position qualifies as "Hybrid Remote Work - Occasionally Onsite": which applies to employees typically working more than 60% of their time remotely.
Job Family
Research Development (RD)Job Profile
Computer Science 2Worker Type
RegularTime Type
Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
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.
Skills Required
- Bachelor's with 5+ years, Master's with 3+ years, or PhD
- Educational background in computer science, computational science, physical science, engineering, or related field
- Proficient programming in Python
- Proficient programming in C or C++
- Experience with at least one AI framework (e.g., PyTorch)
- Experience with large language models and large language model frameworks
- Experience with agentic frameworks
- Ability to create, maintain, and support high-quality software
- Experience with version control tools such as git
- Ability to work collaboratively in a fast-paced environment
- Effective written and oral communication skills
- Work with and contribute to domain-specific software and services
- Model Argonne core values of impact, safety, respect, integrity and teamwork
- Experience with complex, large-scale scientific workflows
- Experience running simulations or AI workflows on supercomputers
What We Do
Argonne National Laboratory, one of the U.S. Department of Energy's national laboratories for science and engineering research, employs 3,400 employees, including 1,400 scientists and engineers, three-quarters of whom hold doctoral degrees.
