Research Associate

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General Notes

The Texas Advanced Computing Center (TACC) at The University of Texas at Austin is one of the leading supercomputing centers in the world, supporting advances in computational research by thousands of researchers and students. TACC staff help researchers and educators use advanced computing, visualization, and storage technologies effectively, and conduct research and development to make these technologies more powerful, more reliable, and easier to use. TACC staff also educate and train the next generation of researchers, empowering them to make discoveries that advance knowledge and change the world.

TACC is currently preparing for the deployment and operation of Horizon, NSF's next-generation leadership-class GPU system based on NVIDIA accelerator technologies. Horizon will significantly expand TACC's capabilities in large-scale simulation, data analytics, and AI-driven workloads, requiring advanced expertise in performance portability, accelerator programming, and scalable application design.

If you are not sure that you're 100% qualified, but up for the challenge - we want you to apply. We believe skills are transferable and passion for our mission goes a long way.

Candidates will need to upload a resume, letter of interest, unofficial copy of transcript, and the names of three references to apply for this position.

UT Austin offers a competitive benefits package that includes:

• 100% employer-paid basic medical coverage
• Retirement contributions
• Paid vacation and sick time
• Paid holidays

Please visit ourHuman Resources (HR) websiteto learn more about the total benefits offered.

Purpose

The Research Associate for High Performance Computing (HPC) will contribute to TACC's HPC research, development, and user support efforts.

Responsibilities

• Work with TACC users to integrate HPC technologies into their research and development activities and to measure the impact of TACC's HPC systems on their research capabilities.
• Perform application performance analysis and industry standard benchmarking on HPC systems.
• Evaluate new HPC architectures, systems, and software tools - including emerging GPU-centric systems such as Horizon - to determine best practices and identify future acquisition targets.
• Assist TACC users with the analysis and optimization of their research software on TACC's HPC systems, with particular emphasis on GPU-accelerated and heterogeneous architectures such as Horizon.
• Support the transition of scientific applications from traditional CPU-based systems to large-scale GPU systems, enabling users to effectively leverage next-generation architectures.
• Initiate and conduct research into new high performance and parallel computing applications, techniques, tools, and algorithms.
• Publicize the results of these activities through presentations at conferences/workshops and through publications in proceedings and professional journals.
• Pursue and obtain external funding to enhance TACC's HPC activities, expertise, and resources by submitting proposals to funding agencies, industrial partners, and vendors directly or in partnership with researchers and faculty at UT Austin or other institutions.

Required Qualifications

• Doctoral degree in a relevant academic or research discipline.
• Documented research experience with highperformance computing, including at least two related publications.
• Proficiency with core HPC programming languages and paradigms, including C/C++, Fortran, and MPI.
• Proficiency in GPU-accelerated HPC programming, with emphasis on CUDA and modern accelerator programming models (e.g., OpenMP offload).
• Proficiency in Python for scientific computing, including integration with machine learning and AI frameworks such as PyTorch, particularly in GPU-accelerated environments.
• Experience in developing parallel applications.
• Demonstrated success working in collaborative, interdisciplinary research environments with computational scientists and engineers.
• Strong interpersonal communication skills and a professional demeanor.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

• Experience debugging, profiling, and optimizing fluid dynamics (CFD) applications on CPU and GPU-accelerated systems.
• Experience optimizing algorithms for accelerator-based systems using CUDA and OpenMP offload.
• Experience programming for Grace Hopper and next-generation NVIDIA GPU architectures.
• Experience or strong interest in teaching and producing HPC training resources related to accelerator-based programming.

Salary Range

$90,000 + depending on qualifications

Working Conditions

• Typical Office Environment
• Repetitive use of a keyboard

Required Materials

• Resume/CV
• Letter of interest
• 3 work references with their contact information; at least one reference should be from a supervisor
• Unofficial copy of transcript

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume in the first step of the online job application process. Then, any additional Required Materials will be uploaded in the My Experience section; you can multi-select the additional files or click the Upload button for each file. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find Jobs. Before you apply though, log-in to Workday, navigate to your Worker Profile, click the Career link in the left-hand navigation menu and then update the sections in your Professional Profile. This information will be pulled in to your application. The application is one page and you will need to click the Upload button multiple times in order to attach your Resume, References and any additional Required Materials noted above.

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Employment Eligibility:

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Retirement Plan Eligibility:

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

• E-Verify Poster (English and Spanish) [PDF]
• Right to Work Poster (English) [PDF]
• Right to Work Poster (Spanish) [PDF]

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.