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High Performance Computing Engineer Jobs in Texas

Intel

Senior CPU Performance Architect

Austin, TX

$165K/yr

... high-performance computing and extreme low-power products. This position offers the unique ... Collaborates with architects, design, verification, and validation engineers during the execution ...

Tenstorrent

Sr. Performance Modeling Architect

Austin, TX · On-site

$100K - $500K/yr

... high-performance computing applications. This role is ideal for early-career architects with a ... Strong programming skills in C++, Python, or similar languages used for architectural modeling and ...

Luxus

Senior Electrical Engineer

Dallas, TX · Hybrid

$106K - $138K/yr

Senior Electrical Engineer (Mission Critical / Data Centers / Advanced Infrastructure) Company Name ... Mission Critical, Data Centers, High-Performance Computing (HPC/AI), High-Reliability Power Systems ...

Luxus

Senior Electrical Engineer

Dallas, TX · Hybrid

$106K - $138K/yr

Senior Electrical Engineer (Mission Critical / Data Centers / Advanced Infrastructure) Company Name ... Mission Critical, Data Centers, High-Performance Computing (HPC/AI), High-Reliability Power Systems ...

Luxus

Senior Electrical Engineer

Dallas, TX · On-site

$115K - $170K/yr

Senior Electrical Engineer (Mission Critical / Data Centers / Advanced Infrastructure) Company Name ... Mission Critical, Data Centers, High-Performance Computing (HPC/AI), High-Reliability Power Systems ...

Schlumberger

Technology Intern

Houston, TX

High-Performance Computing Engineer * IIoT Engineer * Machine Learning Engineer * QA Automation Engineer * Quality Assurance Engineer * Scientific Computing Engineer * Software Security Engineer

Schlumberger

Technology Intern

Houston, TX · On-site

High-Performance Computing Engineer * IIoT Engineer * Machine Learning Engineer * QA Automation Engineer * Quality Assurance Engineer * Scientific Computing Engineer * Software Security Engineer

Schlumberger

High-Performance Computing Engineer * IIoT Engineer * Machine Learning Engineer * QA Automation Engineer * Quality Assurance Engineer * Scientific Computing Engineer * Software Security Engineer

SLB

Technology Intern

Houston, TX · On-site

... Engineer High-Performance Computing Engineer IIoT Engineer Machine Learning Engineer QA Automation Engineer Quality Assurance Engineer Scientific Computing Engineer Software Security Engineer User ...

Intel Corporation

CPU Performance Architect

Austin, TX · On-site

$122K - $172K/yr

... high-performance computing to extreme low power products. * Develops, defines, and documents new ... Collaborates with architects, design, verification, and validation engineers during the execution ...

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High Performance Computing Engineer information

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How much do high performance computing engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for high performance computing engineer in Texas is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.37 per hour, depending on experience, location, and employer.

What is a high performance computing engineer?

A High Performance Computing (HPC) Engineer is a specialist who designs, builds, and maintains advanced computing systems that deliver exceptional processing power for complex computational tasks. These professionals optimize hardware and software environments to support scientific research, large-scale simulations, and data-intensive applications. They work with supercomputers, clusters, and cloud HPC resources, ensuring high efficiency, scalability, and reliability. HPC Engineers also support researchers and organizations in maximizing the performance of their computing infrastructure.

What are the key skills and qualifications needed to thrive as a high performance computing engineer?

To thrive as a High Performance Computing (HPC) Engineer, you need a strong background in computer science, parallel programming, and distributed systems, typically supported by a relevant degree. Familiarity with HPC clusters, Linux/Unix environments, programming languages like C/C++ or Python, and tools such as MPI, OpenMP, and job schedulers is essential. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for optimizing system performance and collaborating with researchers or end-users. These abilities ensure efficient computational solutions, maximize resource utilization, and drive innovation in data-intensive scientific or engineering projects.

What are some common challenges high performance computing engineers face when optimizing system performance?

High Performance Computing Engineers often encounter challenges such as balancing resource allocation, managing workload distribution, and minimizing system bottlenecks. They must ensure that hardware and software components interact efficiently, which can require deep knowledge of parallel computing, networking, and storage systems. Additionally, staying up-to-date with rapidly evolving technologies and troubleshooting complex performance issues are integral parts of the role. Collaborating closely with researchers and IT teams is essential to tailor solutions that meet specific computational needs.

What is the difference between High Performance Computing Engineer vs Data Scientist?

AspectHigh Performance Computing EngineerData Scientist
Required CredentialsBachelor's or master's in computer science, engineering, or related fields; knowledge of parallel computingBachelor's or master's in data science, statistics, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, tech companies, supercomputing centersBusiness, tech firms, research institutions
Industry UsageSupercomputing, scientific research, simulationsData analysis, machine learning, predictive modeling

High Performance Computing Engineers focus on developing and optimizing large-scale computing systems for scientific and technical applications, while Data Scientists analyze data to extract insights. Both roles require programming skills and work in tech-driven environments, but their core objectives differ: system performance versus data analysis.

What are the most commonly searched types of High Performance Computing Engineer jobs in Texas?

The most popular types of High Performance Computing Engineer jobs in Texas are:

What are popular job titles related to High Performance Computing Engineer jobs in Texas?

For High Performance Computing Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching High Performance Computing Engineer jobs in Texas look for?

The top searched job categories for High Performance Computing Engineer jobs in Texas are:

High Performance Computing Engineer jobs near you
Infographic showing various High Performance Computing Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Senior Software Engineer, CUTLASS Platform

Austin, TX

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$121K - $160K/yr

Full-time

Re-posted 13 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are passionate about designing abstractions for Tensor Core and related GPU hardware features in MLIR, Python, and C++ that enable writing high performance kernels, apply to join the CUTLASS team today!

What you'll be doing:

  • Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.

  • Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.

  • Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance.

  • Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features.

What we need to see:

  • Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 3+ years of relevant industry experience.

  • Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.

  • Experience working with high-performance code generation and knowledge of compiler transformations and optimizations.

  • A deep understanding of computer architecture and parallel computing programming models.

Ways to stand out from the crowd:

  • Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures.

  • Hands-on compiler design experience, particularly in MLIR.

  • Understanding of deep learning models, algorithms, and frameworks.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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