AI Software Engineer (HPC & Scientific Workflows)

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 software engineer, targeting a broad range of capabilities to support the use of AI in science. 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. In this position, the candidate will develop services and tools that allow AI models and agents to interact with simulations, data, and computing resources. This includes building APIs and workflow components for submitting and managing jobs, integrating AI models into scientific workflows, and enabling end-to-end workflows that combine data ingestion, model inference or training, and simulation. The focus of this role is on building robust, production-quality software systems that operate reliably at scale.
 

The Data Services and Workflows 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. 

This position qualifies as "Hybrid Remote Work - Occasionally Onsite": which applies to employees typically working more than 60% of their time remotely.

Position Requirements

Required skills and qualifications

• RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent
• Degree in computer science, computational science, a physical science, engineering, or related field
• Comprehensive experience programming in one or more programming 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


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Preferred skills and qualifications:

• A recent MS or PhD in computer science, computational science, a physical science, engineering, or related field
• Experience with running simulations or AI workflows on supercomputers
• Experience designing or operating distributed systems or services
• Familiarity with data systems, APIs, or workflow orchestration tools
• Experience integrating AI models into production systems

Job Family

Research Development (RD)

Job Profile

Software Engineering 2

Worker Type

Regular

Time Type

Full time

The 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 em