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High Performance Computing Hpc Jobs in Texas (NOW HIRING)

Nvidia

Senior CPU Performance Architect

Austin, TX · On-site

$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

HPC Operations Engineer

Austin, TX · Hybrid

$68K - $93K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

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NorthMark Strategies

Emerging Network Architect

Dallas, TX · On-site

$64 - $85.75/hr

Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the ...

NorthMark Strategies

Emerging Network Architect

Dallas, TX

$64 - $85.75/hr

Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the ...

nAG

HPC Software Engineer - Advanced

Houston, TX · On-site

The HPC Software Engineer - Advanced role involves developing and supporting geoscience ... high-performance computing environment. Responsibilities : • Work within a scrum team as a ...

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High Performance Computing Hpc information

See Texas salary details

$30.3K

$63.6K

$104.3K

How much do high performance computing hpc jobs pay per year?

As of Jul 14, 2026, the average yearly pay for high performance computing hpc in Texas is $63,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $77,300.00 per year, depending on experience, location, and employer.

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

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are some common challenges faced by professionals working in High Performance Computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is High Performance Computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a High Performance Computing (HPC) specialist, and why are they important?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.
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High Performance Computing Hpc jobs near you
HPC Software Architect

HPC Software Architect

Cymertek Corporation

San Antonio, TX • On-site

Full-time

Posted 27 days ago

Job description

Job Summary:
Cymertek Corporation is seeking an experienced and visionary HPC Software Architect to lead the design and optimization of software solutions for advanced computing systems. In this role, you will define architectures, guide development teams, and ensure that applications leverage HPC environments to deliver exceptional performance and scalability.
Responsibilities:
• Design and define high-performance software architectures
• Develop strategies for optimizing application performance on HPC systems
• Lead the integration of software with HPC infrastructure
• Collaborate with stakeholders to define technical requirements
• Ensure scalability and compatibility of HPC applications
• Oversee the development and deployment of HPC software solutions
Qualifications:
Required:
• Expertise in parallel programming models (e.g., MPI, OpenMP)
• Strong knowledge of HPC system architectures and workflows
• Experience with distributed systems and data-intensive computing
• Proficiency in performance profiling and system-level optimization
• Familiarity with HPC development tools and libraries (e.g., CUDA, TensorFlow)
• Ability to design fault-tolerant and scalable solutions
• Bachelor's Degree in Computer Science, Computational Science, Software Engineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, Data Science, Mechanical Engineering, Aerospace Engineering, Computational Biology, Computational Chemistry, Information Technology, Systems Engineering, Artificial Intelligence, High-Performance Computing, Numerical Analysis, Scientific Computing, Statistics, Cyber-Physical Systems, or related field
Preferred:
• Familiarity with cloud-based HPC platforms and hybrid solutions
• Understanding of emerging HPC technologies (e.g., quantum computing)
• Experience with high-speed interconnects and storage systems
• Knowledge of containerization in HPC environments (e.g., Docker, Singularity)
• Strong communication and technical documentation skills
• Ability to mentor teams and drive HPC best practices
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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