New

HPC Research Scientist I and HPC Research Scientist II

Research Scientist I $85,000 - $115,000 Annually Depending on Qualifications, Research Scientist II $115,000 - $145,000 Annually Depending on Qualifications

medical insurance, paid time off, retirement plan, remote work

United States, Texas, Richardson

Nov 13, 2026

Posting Details

Posting Number	S07340P
Position Title	HPC Research Scientist I and HPC Research Scientist II
Functional Title	HPC Research Scientist I and HPC Research Scientist II
Department	Information Technology-Research Computing
Salary Range	Research Scientist I $85,000 - $115,000 Annually Depending on Qualifications, Research Scientist II $115,000 - $145,000 Annually Depending on Qualifications
Pay Basis	Monthly
Position Status	Regular full-time
Location	Richardson
Position End Date (if temporary)
Posting Open Date	11/10/2026
Posting Close Date
Open Until Filled	Yes
Desired Start Date	12/07/2026
Job Summary	The Office of Information Technology is hiring two Research Scientist positions at the Research Scientist I and Research Scientist II levels. Candidates will be reviewed for both levels, and the appropriate classification will be determined based on education and relevant experience. Research Scientist I 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 on HPC systems; porting, debugging and optimizing code; troubleshooting and general assistance in using HPC systems; training faculty and students on use of HPC resources and programming; and tracking the use of HPC resources and parallel programming, and the resulting research outcomes and publications. The position reports to the Director of HPC Facilitation. Research Scientist II The High-performance Computing ( HPC) Research Scientist will be responsible for guiding customers using complex research computing resources for advanced research purposes. The position will provide leadership in consulting, technical support, and training to users of high-performance computing resources. Responsibilities include leading customers through onboarding on HPC systems; porting, debugging and optimizing code; troubleshooting and providing general assistance in using HPC systems; training faculty and students on use of HPC resources and parallel programming; and tracking the use of HPC resources and the resulting research outcomes and publications. A growing share of this work involves GPU-accelerated and AI/ML workloads. Overall, the position provides leadership and guidance on facilitation services and reports to the Director of HPC Facilitation.
Minimum Education and Experience	Research Scientist: Master's degree in a field directly related to specified research area and two (2) years of directly applicable experience conducting research related to the specified field of study. Research Scientist II: A minimum of a PhD in a field directly related to research and a minimum of two years of experience/expertise as noted below. Research Scientist II requires a minimum education of PhD. Minimum qualifications for this position may not be changed.
Preferred Education and Experience	Research Scientist I PhD or Master's degree in Computer Science, engineering, science, Mathematics, Data Science or similar quantitative subject area *Focus for this position:* Python programming and code optimization (using parallel libraries, distributed Python programs, using GPUs, scaling GPUs) CUDA programming AI/ML programming (neural networks, using GPUs, scaling across multiple GPUs) Code optimization of scientific applications using C/C++ and/or Python Workshops development (on code optimization techniques) Consulting with research groups (learn needs, provide guidance, arrange training, arrange advanced services, plan computational pipelines) Helping PIs write grant proposals (computational, cyberinfrastructure sections) *Preferred Qualifications:* 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, with the ability to work across teams and adapt to varying 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 in using HPC resources within a university or from national cyberinfrastructure 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) *Knowledge, Skills and Abilities* Ability to program in languages like C/C++, FORTRAN, Python, R or similar scientific programming languages Knowledge of parallel programming using the shared memory and message passing techniques. Knowledge of OpenMP and MPI or similar programming directives and libraries Knowledge of GPU programming with CUDA, HIP, oneAPI or OpenMP for GPUs Knowledge of widely used scientific and AI/ML libraries (e.g. NumPy/SciPy, BLAS, PyTorch, TensorFlow) and their GPU-accelerated equivalents Knowledge of HPC job execution environments like SLURM, PBS, or similar Working understanding of the system and architecture factors that limit application performance, and the ability to use profiling tools to identify and address bottlenecks Comfortable in discussing scientific research topics with faculty and students Comfortable in translating research computing requirements to suitable HPC resources Experience with scientific computing code development and support Knowledge of Linux usage, scripting, Git, development tools and an HPC batch processing system Research Scientist II PhD Computer Science, engineering, science, Mathematics, Data Science or similar quantitative subject areas *Focus for this position:* Python programming and code optimization (using parallel libraries, distributed Python programs, using GPUs, scaling GPUs) CUDA programming AI/ML programming (neural networks, using GPUs, scaling across multiple GPUs) Code optimization of scientific applications using C/C++ and/or Python Workshops development (on code optimization techniques) Consulting with research groups (learn needs, provide guidance, arrange training, arrange advanced services, plan computational pipelines) Helping PIs write grant proposals (computational, cyberinfrastructure sections) *Preferred Qualifications:* Expert 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, with the ability to work across teams and adapt to varying 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 Ability to define, deliver, and optimize HPC or scientific support services Know multiple programming and scripting languages Extensive knowledge of parallel programming techniques including shared memory and message passing parallel programming, knowledge of GPU programming Knowledge of containers (especially Apptainer), Open OnDemand, data modelling and data repositories Experience in using HPC resources within a university or from national cyberinfrastructure 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 Demonstrated ability in writing grant papers, identifying opportunities for grants and converting them into grants Demonstrated ability in presenting at conferences either as tutorials, lightning talks, or workshops *Knowledge, Skills and Abilities* Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages Knowledge of parallel programming using the shared memory and message passing techniques. Knowledge of OpenMP and MPI or similar programming directives and libraries Knowledge of GPU programming with CUDA or OpenMP for GPUs, Python Numba Knowledge of widely used scientific and AI/ML libraries (e.g. NumPy/SciPy, BLAS, PyTorch, TensorFlow) and their GPU-accelerated equivalents Knowledge of HPC job execution environments like SLURM, PBS, or similar. Knowledge of launcher and array jobs. Working understanding of the system and architecture factors that limit application performance, and the ability to use profiling tools to identify and address bottlenecks Comfortable in discussing scientific research topics with faculty and students Comfortable in translating research computing requirements into suitable HPC resources Experience with scientific computing code development and support Knowledge of Linux usage, scripting, Git, development tools and an HPC batch processing system
Other Qualifications	To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.
Essential Duties and Responsibilities	Research Scientist I Assist customers with onboarding by sharing information about system capabilities, how to obtain accounts and access the systems (within UTD, across Texas, and national resources), running customer's own programs or packages software, using the batch system, and monitoring systems usage Assist customers with porting and optimizing code, including selecting appropriate development tools, porting applications to HPC systems, and optimizing performance within a node, across nodes, and on GPUs Assist customers with guidance on appropriate computing tools for general mathematical, scientific, engineering or computing tasks. Guide researchers in research management practices as described in NIST and NSF guidelines Assist customers with troubleshooting and debugging including common issues, debugging code errors, and debugging performance bottlenecks (profiling, resource usage monitoring, benchmarking). Consult and train HPC users about system capabilities, using HPC resources, porting and optimizing code, using packaged software, and debugging routine and complex issues Develop and deliver workshops and training materials on code optimization techniques, including but not limited to GPU and Python-based optimization Consulting with research groups to understand their computational needs, plan computational pipelines, and arrange training and advanced services Assist principal investigators with the computational and cyberinfrastructure sections of grant proposals. Track system usage and prepare reports that include resource consumption, what research problems are being solved using HPC resources, track publications like journal articles, conference papers, dissertations, theses, and technical presentations; prepare reports by gathering, analyzing, and reporting the data to HPCRE and university leadership Research Scientist II Lead and guide customers during the onboarding process by sharing information about system capabilities, how to obtain accounts and access the systems (within UTD, across Texas, and national resources), running customer's own programs or packaged software, using the batch system, and monitoring systems usage Assist customers with porting and optimizing code, including selecting appropriate development tools, porting applications to HPC systems, and optimizing performance within a node, across nodes, and on GPUs Guide customers on appropriate computing tools for general mathematical, scientific, engineering or computing tasks. Guide researchers in research management practices as described in NIST and NSF guidelines Assist customers with troubleshooting and debugging including common issues, debugging code errors, and debugging performance bottlenecks (profiling, resource usage monitoring, benchmarking). Consult and train HPC users about system capabilities, using HPC resources, porting and optimizing code, using packaged software, and debugging routine and complex issues Develop and deliver workshops and training materials on code optimization techniques, including but not limited to GPU and Python-based optimization Consulting with research groups to understand their computational needs, plan computational pipelines, and arrange training and advanced services Write grant proposals and assist principal investigators with the computational and cyberinfrastructure sections of grant proposals. Assist researchers in defining and managing scope for secure research practices to meet NIST, NSF, or similar frameworks Track system usage and prepare reports that include resource consumption, what research problems are being solved using HPC resources, track publications like journal articles, conference papers, dissertations, theses, and technical presentations; prepare reports by gathering, analyzing, and reporting the data to HPCRE and university leadership. Propose and execute steps to improve customer understanding, code performance or system optimizations. Lead a small team of research scientists, develop the team's technical skills, track the developments in the HPC field and plan to incorporate new systems and computing techniques into our service offerings Track usage and performance of HPC facilitation services delivery, gather user feedback, and work on evolving these services to better meet user needs. Serve as an escalation point for facilitation services
Physical Demands and Working Conditions	Research Scientist I On-call availability for quickly responding to high priority requests and/or support for operations team on testing software after emergency maintenance, both during regular and emergency off-hours. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, power tools, and to handle other computer components. Occasional lifting and transporting of moderately heavy objects, such as computers, switches and peripherals. Research Scientist II On-call availability for quickly responding to high priority requests and/or support for operations team on testing software after emergency maintenance, both during regular and emergency off-hours. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, power tools, and to handle other computer components. Occasional lifting and transporting of moderately heavy objects, such as computers, switches and peripherals.
Physical Activities
Working Conditions
Additional Information	Candidates will be subject to a criminal background check Visa sponsorship is not available Remote Work Notice: Both roles may be eligible for a hybrid (partly remote/partly in office) work schedule, subject to business need and manager approval. Must be located within the state of Texas and have the ability to be on campus with 24 hours of notice. A UT Dallas Remote Work Agreement will be required within 14 days after approval. What We Can Offer UT Dallas is an Equal Opportunity Employer. We offer an employee-friendly work environment with a comprehensive benefits package including: * Competitive Salary * Tuition Benefits * BCBS PPO Medical Insurance Options - including 100% paid employee medical coverage for full-time employees * AD&D Insurance * Dental & Vision Plan Options * Optional Long and Short-term Disability * TRS Retirement Plan * Fertility Benefits * Paid time off All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https: https://hr.utdallas.edu/employees/benefits/ for more information. About Us UT Dallas is a top public research university located in one of the nation's fastest-growing metropolitan regions. Our seven schools offer more than 140 undergraduate and graduate programs, plus professional certificates and fast-track programs. Our student body is 31,000 strong, reflecting students from over 100 countries and a multiplicity of identities and experiences. UT Dallas is committed to graduating well-rounded members of the global community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. Rich with visual and performing arts venues, museum districts, professional and semi-professional athletics teams, botanical gardens, accessible trails and so much more, the Dallas-Fort Worth ( DFW) metroplex has something for everyone to explore. UT Dallas partners with regional higher education institutions and school districts and with the Richardson Innovation Quarter (Richardson IQ), a major hub for innovation, entrepreneurship, and educational activities. Let us be your employer of choice! # WHOOSH
Special Instructions Summary
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. 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* . For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.