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High Performance Computing Jobs in Texas (NOW HIRING)

CPU Performance Architect

Austin, TX · On-site

$165K/yr

Invents, conceptualizes, and specifies architectural and microarchitecture features to deliver optimized CPU requirements for multiple segments from high performance computing to extreme low-power ...

Senior CPU Performance Architect

Austin, TX · On-site

$165K/yr

The Role and Impact As a CPU Performance Architect, you will play a pivotal role in shaping the future of Intel's cutting-edge CPU designs, driving innovation across high-performance computing and ...

CPU Performance Architect

Austin, TX · On-site

$165K/yr

Invents, conceptualizes, and specifies architectural and microarchitecture features to deliver optimized CPU requirements for multiple segments from high performance computing to extreme low-power ...

Do you want to help drive the development of CPU technology for architectures used for artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), cloud service providers ...

The Role and Impact As a CPU Architect, you will be at the forefront of Intel's innovation, shaping the future of CPU designs for high-performance computing and low-power products. This role is ...

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High Performance Computing information

See Texas salary details

$37.3K

$92.7K

$143K

How much do high performance computing jobs pay per year?

As of Jun 23, 2026, the average yearly pay for high performance computing in Texas is $92,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $117,400.00 per year, depending on experience, location, and employer.

What are the career opportunities in high performance computing?

Career opportunities in high performance computing (HPC) include roles such as HPC system administrators, computational scientists, software developers, and data analysts. These positions often require skills in parallel programming, Linux systems, and knowledge of HPC tools like MPI and CUDA, with certifications and experience in managing large-scale computing environments being advantageous.

What are the typical responsibilities of someone working in High Performance Computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What engineers make $500,000?

High Performance Computing engineers, especially those with advanced skills in parallel programming, system architecture, and experience with supercomputers or cloud HPC environments, can reach salaries of $500,000 or more, often in senior or specialized roles. Such compensation typically includes base salary, bonuses, and stock options, and is common in industries like aerospace, defense, and large tech companies.

What is the highest paid job in computing?

In high performance computing, roles such as HPC Director, Chief Technology Officer, or senior research scientists often have the highest salaries, especially with advanced skills in parallel programming, system architecture, and large-scale data management. These positions typically require extensive experience, leadership abilities, and often advanced degrees or certifications.

What are the key skills and qualifications needed to thrive in the High Performance Computing position, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

What is a High Performance Computing job?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What is high performance in computing?

High performance in computing refers to systems or applications that deliver rapid processing speeds and handle large-scale computations efficiently. High Performance Computing (HPC) jobs often utilize parallel processing, specialized hardware like supercomputers or clusters, and optimized software to solve complex problems in fields such as scientific research, engineering, and data analysis.
What are the most commonly searched types of High Performance Computing jobs in Texas? The most popular types of High Performance Computing jobs in Texas are:
What job categories do people searching High Performance Computing jobs in Texas look for? The top searched job categories for High Performance Computing jobs in Texas are:
What cities in Texas are hiring for High Performance Computing jobs? Cities in Texas with the most High Performance Computing job openings:
Infographic showing various High Performance Computing job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,725 per year, or $44.6 per hour.
Staff Scientist, O'Donnell Data Science and Research Computing Institute

Staff Scientist, O'Donnell Data Science and Research Computing Institute

SOUTHERN METHODIST UNIVERSITY

Dallas, TX

Full-time

Medical, Dental, Vision

Posted 10 days ago


Southern Methodist University rating

7.4

Company rating: 7.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

287th of 539 rated colleges and universities


Job description

Salary Range: 

Salary commensurate with experience and qualifications

About SMU

SMU's more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University's small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs.

SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies.

SMU is data driven, and its powerful supercomputing ecosystem - paired with entrepreneurial drive - creates an unrivaled environment for the University to deliver research excellence.

Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU's relationship with Dallas - the dynamic center of one of the nation's fastest-growing regions - offers unique learning, research, social and career opportunities that provide a launch pad for global impact.

SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry.

About the Department:

  SMU's O'Donnell Data Science and Research Computing Institute was launched in Fall 2020. The Institute aims to develop research connections between SMU's faculty affiliates and corporations, federal/state/local governmental agencies, and nonprofit   organizations.

  The Institute strives to provide these partners with access to graduate and undergraduate students in our data science programs   for project participation, internships, and potential full-time employment. We also serve as a gateway to SMU's high performance   computing environment and data science training tutorials and workshops.

About the Position:

This role is an on-campus, in-person position.

The Staff Scientist in the O'Donnell Data Science and Research Computing Institute (ODSRCI) will support SMU's research activities in data science, artificial intelligence/machine learning (AI/ML), and high-performance computing (HPC). The ODSRCI was established to enhance and connect data-intensive research across the SMU campus through advanced computational infrastructure and interdisciplinary collaboration. Working with the Director, faculty, and research teams, the Staff Scientist will contribute technical and research expertise to projects involving data analytics, scientific computing, AI/ML, and related computational methods. 

Essential Functions:

  • The responsibilities of this role include contributing to research activities in data science, AI/ML, high-performance computing, and related emerging technologies through participation in assigned projects and collaborative initiatives. The Staff Scientist will help identify external funding opportunities and contribute to proposal development and submission.

  • This role requires collaboration with industry and academia to advance the O'Donnell Institute's research and development efforts. The Staff Scientist will promote the mission and capabilities of SMU and the O'Donnell Institute in the areas of data science, AI/ML, and HPC. He/she will communicate SMU's strengths and accomplishments to help support the Institute's continued growth.

  • The O'Donnell Institute provides support to graduate students through graduate fellowships and short-term internships. The Staff Scientist will help design student research projects for maximum impact and learning opportunities. He/she will also provide mentorship to graduate students to help establish a culture of innovation, interdisciplinary research, and scholarship.

  • The O'Donnell Institute holds multiple events throughout the year to communicate its mission and progress to the public and various stakeholders. The Institute also provides training and workshops to SMU researchers and collaborators in the areas of data science, AI/ML, and high-performance computing. The Staff Scientist will help design, organize, and execute these events.

  • Occasional travel to meet sponsors and attend workshops and conferences is required. 

Education and Experience:

Doctoral degree is required. A degree in Computer Science, AI/ML, or related field is preferred. 

A minimum of two years of research experience and established track record in the fields of data science and AI/ML is required. 

Experience working across disciplinary boundaries to develop research conditions is preferred. Experience in mentoring student is preferred. 

Knowledge, Skills and Abilities:

Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills.

Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills.  

Candidate must have a good understanding of the interface of academia and industry. 

Candidate must have awareness of current and upcoming changes in the funding and research landscape. 

Knowledge of HPC software stacks and parallel computing is required. Experience with GPU and accelerated computing is preferred. 

Physical and Environmental Demands:

  • Sit for long periods of time

Deadline to Apply:

Priority consideration may be given to submissions received by July 1, 2026

The position is open until filled.

EEO Statement

SMU is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.

Benefits:

SMU offers staff a broad, competitive array of health and related benefits. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution.

SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU.

The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities, including tuition benefits.


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