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High Performance Computing Jobs in Texas (NOW HIRING)

Nvidia

Senior CPU Performance Architect

Austin, TX

$165K/yr

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 ...

Nvidia

Senior CPU Performance Architect

Austin, TX

$165K/yr

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 ...

Summa

HPC Platform Engineer

Houston, TX · Hybrid

$70 - $90/hr

Summary We are partnering with a global high-performance computing and scientific software consulting firm seeking an HPC Platform Engineer to support enterprise energy clients in Houston. This is a ...

Introl

Data Center Technician

Austin, TX · On-site

$22 - $35/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 ...

Intel

Senior CPU Power Management Architect

Austin, TX

$190K - $361K/yr

The Role and Impact As a CPU Power Management 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.

Intel

Senior Middleware Development Engineer

Austin, TX · On-site

$128K - $245K/yr

Build the Future of High-Performance Computing Join Intel's Communication Runtimes team and develop cutting-edge software that powers the world's most advanced supercomputers and AI systems. Work on ...

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High Performance Computing information

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$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 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 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.
Senior CPU Performance Architect

Senior CPU Performance Architect

Nvidia

Austin, TX

$165K/yr

Full-time

Posted 15 days ago

Job description

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 (CSP), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team and help us push performance boundaries for all our CPU products!

What you'll be doing:

  • Work on workload bring-up and performance analysis/projection, both on silicon and full-system simulator.

  • Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles.

  • Study real world use-cases and identify critical application behavior and reduce to directed test cases.

  • Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.

  • Work with CPU and interconnect architects to improve future CPU and system designs based on your findings.

  • Benchmark NVIDIA's CPU offerings against competition and suggest software or hardware improvements.

What we need to see:

  • BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

  • 12+ years of relevant experience.

  • Experience with CPU workloads and performance analysis.

  • Knowledge of performance test development and benchmarking for CPU and I/O.

  • Deep knowledge of CPU microarchitecture and system architecture.

  • Experience with the ARM instruction set architecture (ISA) preferable but not required.

Ways to stand out from the crowd:

  • PhD or Research experience.

  • GPU driver experience.

  • Knowledge of GPU-accelerated workloads andmodeling performance of accelerated workloads.

  • Experience with performance optimization of AI frameworks such as PyTorch.

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research.With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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