Posting Number: S05841P Department: High Performance Computing Salary Range: $95K-115K DOQ Pay Basis: Monthly Position Status: Regular full-time Location: Richardson Job Description: The High Performance Computing ( HPC ) Research Scientist will be responsible for assisting customers using complex research computing resources for advanced research purposes. The position will provide consulting, technical support, and training to users of high-performance computing resources. Responsibilities include assisting customers with onboarding of HPC systems; porting, debugging, and optimizing code; troubleshooting and general assistance in using HPC systems; training faculty and students on the use of HPC resources and programming; and tracking the use of HPC resources and the resulting research outcomes and publications. The position reports to the Director of HPC Facilitation. Minimum Qualifications: - Master’s degree in field directly related to research – Two (2) years of experience/expertise performing research relating to a specified field of study – Or equivalent combination of relevant education and experience totaling at least eight years. Preferred Education and Experience: Preferred Qualifications: + PhD or Master’s degree in computer science, engineering, science, mathematics, data science, or similar quantitative subject area. + Current knowledge of HPC systems, best practices, and research customer support. + Ability to troubleshoot customer code, porting code, and optimizing code for HPC environments. + Excellent interpersonal, written, and verbal communication skills are essential. + Multitasking, ability to work with teams and with varied customer needs. + Ability to gather data about the use of HPC systems, analyze the data, and prepare reports for leadership. + Ability to manage support tickets and prioritize considering varied scope, scale, and technical requirements. + Know multiple programming and scripting languages. + Knowledge of parallel programming techniques including shared memory and message passing parallel programming. + Experience with scientific computing code development and support. + Knowledge of Linux usage, scripting, Git, development tools, and an HPC batch processing system. + Experience in using HPC resources within a university or from national cyber infrastructure resources. + Previous work with faculty in research projects, worked with and mentored students, written and presented academic/research papers. + Experience attending conferences, representing one’s institution, and gleaning trends and opportunities in the field and industry. + Familiarity with secure research management practices (e.g., NIST and NSF frameworks). Important Message: 1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public. 2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. EOE , including disability/veterans. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator (ADACoordinator@utdallas.edu) . For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator (TitleIXCoordinator@utdallas.edu) .