Scientific Data Services Engineer – AI & HPC

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.

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 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

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.