Love technology and changing the world? So do we. Which is why "powering discoveries that change the world" is not just our motto, but a primary directive. No matter what team is hiring, you'll be joining an effort to enable breakthrough scientific discoveries across various disciplines, including the most complex global scientific challenges from pandemics to asteroids.

Why Work At TACC?

The Texas Advanced Computing Center (TACC) at The University of Texas at Austin is one of the leading academic 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 supports individuals from all communities by respecting and encouraging mindfulness of diverse viewpoints and experiences. We strive to promote diversity in our recruiting and retention practices and believe inclusivity contributes to the development of excellence in all of our endeavors.

TACC fosters a culture of innovation, passion, and fun by encouraging staff members to actively collaborate to investigate the latest technologies, team up for charities, and celebrate successes together. TACC promotes a healthy workplace by helping employees achieve balance between their personal and professional lives to increase employee engagement, job satisfaction, and overall well-being.

Current Job Opportunities

Position will support the ECEP Alliance mission to increase the number and diversity of students in computing and computing-intensive pathways by developing and facilitating ECEP services and resources for state and national CS education leaders.

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Position will broaden participation in K20 computing pathways through research, outreach, professional development, and policy advocacy by developing and leading a strategic marketing and public relations strategy for EPIC programs and the ECEP Alliance.

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The Research Engineering/Scientist Associate IV will join the High Performance Computing (HPC) area to work on building a benchmarking infrastructure and maintain an archive of application performance.

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Position will design, implement, test, deploy, and maintain distributed MIS software services for account and resource allocation management systems for supercomputing resources.

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Position will work with internal and external collaborators to investigate and resolve errors in end-to-end scientific data transfers, coordinate with external collaborators to understand and debug open data transfer and routing problems, and gain in-depth knowledge of modern data architectures and infrastructure.

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Position will be responsible for developing and implementing formative and summative evaluations of science, technology, engineering, and mathematics (STEM) education related projects, research grants, and contracted evaluation services.

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Position will contribute to research, development, and support activities involving learning algorithms, systems, and architectures and the interfaces by which users can transparently harness these techniques and technologies.

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All applicants must formally apply for a specific position through UT Austin Jobs. For complete job description(s), click on a listing above, and follow instructions to apply for the specific job of interest by using your online resume. For additional information about positions, please contact Sophia Price at

The University of Texas at Austin is an Equal Opportunity/Affirmative Action Employer and actively seeks women and minority applicants for all positions. Working conditions include exposure to standard office conditions, exposure to electrical and mechanical hazards, repetitive use of a keyboard at a workstation, use of manual dexterity, and lifting and moving. All positions are considered security sensitive and will involve a criminal background check and conviction verification conducted on applicant selected. The retirement plan for UT positions is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.