Scientific Data Services Engineer - AI & HPC

Argonne National Laboratory; United States; Hybrid; USD 94,000 - 147,000; Full time

Job summary

Argonne National Laboratory is seeking a Data Services Engineer to enable AI for science by designing data ingestion, indexing and search for terabytes to petabytes of scientific data. You will work with the Data Services and Workflows group to expose data to users and AI models through web apps and high-performance APIs.

The role emphasizes collaboration with science teams, academia, and industry in a hybrid remote/on-site setting, typically with substantial time remote.

Qualifications

• Degree in computer science, computational science, physical science, engineering or related field.
• Proficiency in Python and C/C++ with software development experience.
• Experience with data management frameworks and deployment in diverse environments.

Responsibilities

• Engineer data services to expose terabytes to petabytes of data to users and AI models.
• Develop workflows combining data, simulations, analysis and AI.
• Collaborate with science teams and external partners to meet project goals.

Skills

Python

C/C++

OpenMetadata

Kubernetes

HPC

Git

Communication

Collaboration

Software design

Education

Bachelor's in CS/Computing/Engineering

MS or PhD preferred

Tools

Git

Kubernetes

OpenMetadata

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 data services engineer working in the space of enabling AI for science, specifically targeting large-scale scientific data management. 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 can expect to engineer solutions that expose terabytes to petabytes of scientific data to users and to AI models, emphasizing data ingestion, indexing, and search of diverse data. Working together with scientists, you will work to understand data from target science domains, how to structure it efficiently for search according to project requirements, and expose it to users through highly-usable web applications, and to AI applications through high-performance APIs.

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

• 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 data management framework (e.g. OpenMetadata)
• Experience with deployment in diverse environments (e.g. Kubernetes, HPC)
• Ability to create, maintain, and support high-quality software is essential
• 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

• A recent MS or PhD in computer science, computational science, a physical science, engineering, or related field
• Experience working with scientific data in one or more domains
• Experience working with parallel filesystems
• Experience designing or operating data services, including deployment, analysis, and integration with AI language models
• Experience profiling and optimizing data services for performance
• Familiarity with secure, multi-user services, including authentication/authorization, and API security

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.

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.