> Markdown version of [/jobs/ext/3890470-scientific-data-services-engineer-ai-hpc](https://www.wearedevelopers.com/jobs/ext/3890470-scientific-data-services-engineer-ai-hpc). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Scientific Data Services Engineer - AI & HPC - **Company:** Argonne National Laboratory - **Location:** Lemont, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $94,486.0 - $147,399.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, C++ (Programming Language), Profiling, Data as a Services, Python (Programming Language), Language Modeling, Supercomputing, High Performance Computing, Data Ingestion, Software Security, Git, Kubernetes, Information Technology, Data Management, Software Version Control, Programming Languages - **Published:** October 23, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/il/lemont/c41a5247-27ea-41b1-ae27-1c4bfb05379e ## About the Role 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 ## Description Research Leadership Innovation Kubernetes Data Ingestion Supercomputing Authentications Data Management Legal Discovery Computer Science Physical Science Workflow Management Programming Languages Artificial Intelligence Version Control Software Authorization (Computing) C++ (Programming Language) High Performance Computing Verbal Communication Skills Git (Version Control System) Python (Programming Language) Application Programming Interface (API) Applications Of Artificial Intelligence