Remote Psychology Computer Science Jobs in Illinois

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 2

Worker Type

Regular

Time 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.

Click here to view Argonne employee benefits!

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.