ZipRecruiter

Log In

1

High Performance Computing Hpc Jobs in Texas (NOW HIRING)

NorthMark Strategies

HPC Storage Architect

Dallas, TX · On-site

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 ...

Nvidia

Senior CPU Performance Architect

Austin, TX · On-site

$165.50K/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 ...

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 · 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 ...

next page

Showing results 1-20

People also search for

All JobsHigh Performance Computing Hpc JobsHigh Performance Computing Hpc Jobs in Texas

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 May 31, 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 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.

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 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 popular job titles related to High Performance Computing Hpc jobs in Texas? For High Performance Computing Hpc jobs in Texas, the most frequently searched job titles are:
What job categories do people searching High Performance Computing Hpc jobs in Texas look for? The top searched job categories for High Performance Computing Hpc jobs in Texas are:
What cities in Texas are hiring for High Performance Computing Hpc jobs? Cities in Texas with the most High Performance Computing Hpc job openings:
High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Texas as of May 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 85% Physical, and 15% Remote job distribution, with an average salary of $63,584 per year, or $30.6 per hour.

HPC Storage Architect

NorthMark Strategies

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

The Company
NorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. 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 industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
The Position
As an HPC Storage Solutions Architect, you will design, integrate, and optimize high-performance storage architectures that underpin HPC, AI/ML, and large-scale data-intensive workloads. You will act as a trusted advisor to customers, guiding them through the full solution lifecycle - from requirements discovery and workload analysis, through solution design, proof-of-concept, and deployment, to workflow optimization and long-term adoption.
This is a customer-facing technical role with a focus on building scalable, resilient, and efficient storage systems. You will ensure that customer workloads - from simulation and AI training to data pipelines and scientific research - are matched with the right file systems, protocols, and architectures to deliver maximum performance.
You will also collaborate closely with product, engineering, and vendor partners, influencing both platform evolution and the adoption of emerging storage technologies.
Responsibilities:
  • Serve as the primary storage subject matter expert (SME) for customers deploying or scaling HPC environments.
  • Partner with customers to capture workload storage requirements, performance objectives, and capacity planning needs.
  • Design and document end-to-end storage architectures, including parallel/distributed file systems (e.g., Lustre, GPFS, Ceph, VAST), object storage, and tiered solutions.
  • Lead proof-of-concept and benchmarking initiatives, validating performance, scalability, and resiliency of storage designs.
  • Implement integration strategies across compute, networking, and orchestration layers to ensure seamless end-to-end performance.
  • Conduct workflow assessments and storage usage reviews, recommending optimizations to improve throughput, latency, and cost efficiency.
  • Develop architecture blueprints, reusable design patterns, and integration guides to standardize HPC storage solutions.
  • Work with infrastructure-as-code and automation practices (e.g., Ansible, Terraform) to deliver consistent, repeatable storage environments.
  • Collaborate with engineering, product, and operations teams to refine storage offerings and influence platform strategy.
  • Partner with vendors (e.g., Dell, VAST, HPE, Rubrik) to integrate new features, evaluate emerging technologies, and provide customer-driven feedback into vendor roadmaps.
  • Stay up to date with emerging storage technologies, protocols, and data management practices, providing future insight to customers on adoption strategies.
  • Represent the team at customer workshops, technical reviews, and industry forums, building strong technical relationships.

Requirements:
  • Demonstrated experience in storage solution architecture, HPC storage engineering, or large-scale distributed storage design.
  • Strong technical expertise in parallel and distributed file systems (Lustre, GPFS, Ceph, VAST) and object storage platforms.
  • Hands-on experience with multi-petabyte storage systems, including design, deployment, and scaling.
  • Skilled in Linux storage stack tuning, file system protocols (NFS, SMB, POSIX), and performance optimization.
  • Experience implementing storage automation and infrastructure-as-code practices (e.g., Ansible, Terraform).
  • Proven ability to troubleshoot and optimize storage workflows for HPC, AI/ML, or data-intensive workloads.
  • Strong customer-facing communication skills, with the ability to explain complex storage architectures to technical and non-technical stakeholders.

Preferred Experience
  • Experience delivering HPC or AI/ML workloads on large-scale, high-performance storage environments.
  • Familiarity with data protection, backup, and recovery technologies integrated with HPC storage.
  • Exposure to multi-vendor storage ecosystems, including collaboration with leading hardware and software providers.
  • Experience with workflow optimization for data pipelines, simulation workloads, or scientific computing.
  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
  • Relevant Storage and systems certifications such as NetApp NCIE, Dell EMC Proven Professional, Red Hat RHCE, or cloud platform certifications like AWS Solutions Architect.

It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company's needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Benefits & Perks:
  • Company-Paid Lunch Stipend: Lunch is provided via GrubHub
  • Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability
  • 401(k): Company will match 100% of your contributions up to 6%
  • Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more.
  • Time Off: 25 days of Paid Time Off plus 12 company holidays

EQUAL OPPORTUNITY EMPLOYER
NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.

Apply