Hiring: Computational Scientist- HPC/AI Generalist Company: University of Chicago Location: Chicago, IL Job Posted Time: 2026-09-10 11:28:44 Employment Type: Contract / Hybrid Target Skills & Keywords : C, C++, Docker, Fortran, Git, Hugging Face, Julia, LLM, Linux, Machine Learning, NumPy, Pandas, PyTorch, Python, SciPy, TensorFlow, scikit-learn About the job Experience: •Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Required Skills: •The job develops software to support the data acquisition, ingestion, and integration for research projects. Assists in the development of user interfaces and scalable back-end services to automate and accelerate the scientific output of multi-institutional research projects. •This is a hybrid position requiring 3 days onsite. •Partner with faculty and research groups as a domain expert to develop and implement computational solutions that advance their research. •Advise on the effective use of RCC resources, HPC systems, AI technologies, and cloud platforms. •Support researchers’ use of AI and machine learning tools, including AI coding assistants and agents (e.g., Claude Code), model APIs (e.g., Anthropic, OpenAI), and open-weight models hosted on RCC systems. •Develop, maintain, optimize, and support scientific software, computational workflows, and research computing environments on RCC systems. •Troubleshoot, profile, optimize, and port scientific applications to maximize performance across CPU, GPU, memory, storage, and I/O. •Contribute technical expertise to faculty projects through the RCC Consultant Partnership Program and other collaborative initiatives. Qualifications: •Minimum requirements include a college or university degree in related field. •PhD in a relevant field. •Proficiency in one or more compiled programming languages (e.g., C++, C, Julia, or Fortran). •Proficiency in Python or another scientific scripting language. •Excellent analytical, problem-solving, and communication skills, with the ability to work effectively with faculty and multidisciplinary teams. •Operational familiarity with scientific computing libraries such as NumPy, SciPy, pandas, xarray, and scikit-learn. Compensation: •$85,000 - $102,500 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!