ZipRecruiter

Log In

1

High Performance Computing Jobs in Texas (NOW HIRING)

Introl

Data Center Technician

San Antonio, TX · On-site

$30 - $36/hr

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our ...

Nvidia

Senior Architect, Data Center Modeling

Austin, TX

$66.75 - $89.25/hr

At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers ...

Luxus

Senior Electrical Engineer

Dallas, TX · Hybrid

$106K - $138K/yr

Mission Critical, Data Centers, High-Performance Computing (HPC/AI), High-Reliability Power Systems Work Setting: Hybrid (1 day per week onsite - Tuesday or Thursday) Salary: $115,000 - $170,000 ...

Luxus

Senior Electrical Engineer

Dallas, TX · Hybrid

$106K - $138K/yr

Mission Critical, Data Centers, High-Performance Computing (HPC/AI), High-Reliability Power Systems Work Setting: Hybrid (1 day per week onsite - Tuesday or Thursday) Salary: $115,000 - $170,000 ...

Introl

Data Center Technician

San Antonio, TX · On-site

$30 - $36/hr

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our ...

Luxus

Senior Electrical Engineer

Dallas, TX · On-site

$115K - $170K/yr

Mission Critical, Data Centers, High-Performance Computing (HPC/AI), High-Reliability Power Systems Work Setting: Hybrid (1 day per week onsite - Tuesday or Thursday) Salary: $115,000 - $170,000 ...

Introl

Data Center Technician

Houston, TX · On-site

$30 - $36/hr

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our ...

Introl

Data Center Technician

Dallas, TX · On-site

$30 - $36/hr

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our ...

previous page

Showing results 41-60

All JobsHigh Performance Computing JobsHigh Performance Computing Jobs in Texas

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 Aug 12, 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 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.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale computations across industries such as research, finance, and engineering. HPC specialists are in demand for skills in parallel programming, cluster management, and optimizing computational workflows to handle growing data and performance needs.

What are the key skills and qualifications needed to thrive in high performance computing, 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 high performance computing?

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 are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, large-scale data analysis, and scientific research that require high processing speeds and large memory capacities. HPC jobs often involve working with specialized hardware, software, and programming skills such as MPI or CUDA.
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 are popular job titles related to High Performance Computing jobs in Texas? For High Performance Computing jobs in Texas, the most frequently searched job titles 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:
High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $92,725 per year, or $44.6 per hour.

Data Center GPU Performance Attainment Lead

Advanced Micro Devices, Inc

Austin, TX • On-site

$156K/yr

Full-time

Re-posted 15 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 157 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
The successful candidate will assume responsibility for post-silicon activities related to performance characterization and optimization of AMD Datacenter products, spanning both single-node and multi-node deployments.
THE PERSON:
You have a passion for computer architecture, along with strong knowledge of HPC and ML workloads. You are a team player with excellent communication skills and experience collaborating with engineers across multiple sites and time zones. You are a quick learner, self-starter, and able to drive multiple complex tasks to completion.
KEY RESPONSIBILITIES:
  • Develop and maintain automation frameworks for workload execution and performance data collection, enabling scalable and repeatable characterization across configurations.
  • Become a key stakeholder in the product power and performance definition process, ensuring alignment between architectural goals and measured silicon performance.
  • Develop, execute, and evolve performance characterization and optimization test plans across diverse usage scenarios, including High Performance Computing (HPC) and Machine Learning (ML) workloads.
  • Drive performance attainment for both scale-up (intra-node) and scale-out (multi-node) configurations, including:
    • Multi-GPU scaling efficiency within a node
    • Interconnect bandwidth utilization (e.g., XGMI / Infinity Fabric)
    • Collective communication efficiency and communication-compute overlap
    • Workload scaling behavior (strong and weak scaling)
    • Identification and mitigation of system-level bottlenecks across distributed environments
  • Analyze interactions between power management features and performance behavior, optimizing configurations to achieve the best performance and performance-per-watt tradeoffs.
  • Identify architectural and system-level bottlenecks and develop strategies to stress, expose, and mitigate worst-case performance scenarios.
  • Support prototyping and experimentation efforts to evaluate enhancements and new features that impact performance.
  • Debug and troubleshoot system-level issues across hardware, firmware, and software stacks observed in lab and production test environments.
  • Collaborate with cross-functional teams (architecture, firmware, drivers, platform, and workload teams) to drive root-cause analysis through to resolution and performance closure.
  • Proactively drive continuous improvement of post-silicon performance methodologies, tools, and workflows.

PREFERRED EXPERIENCE:
  • Proven leadership skills with experience mentoring junior engineers, coordinating cross-functional teams, and driving complex performance characterization and optimization efforts across multiple locations.
  • Strong programming skills, with preference for Python and experience with ML frameworks (e.g., TensorFlow or PyTorch).
  • Proficiency in C/C++, scripting (Shell), and familiarity with performance tooling and automation workflows.
  • Strong understanding of computer architecture and system organization.
  • Deep knowledge of HPC and ML workloads, including scaling behavior and performance bottlenecks.
  • Experience with scale-up and scale-out performance analysis at rack-level and cluster-level deployments
  • Strong analytical and problem-solving skills, with a high level of attention to detail.
  • Excellent interpersonal, collaboration, and communication skills.

ACADEMIC CREDENTIALS:
  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.

LOCATION:
Austin, TX or Markham, ON
This role is not eligible for visa sponsorship.
#LI-HYBRID
#LI-RL1
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply