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High Performance Computing Hpc Jobs (NOW HIRING)

Peak Systems

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High Performance Computing (HPC) Engineer

Dallas, TX · On-site

$72 - $82/hr

High Performance Computing (HPC) Engineer Travel: Up to 50% (Customer Sites, Industry Events, Project Deployments) Level: Mid-Senior Engineer Reports To: Services Delivery Manager / Practice Director ...

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High Performance Computing HPC information

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

As of Jul 24, 2026, the average yearly pay for high performance computing hpc in the United States is $68,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $83,000.00 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.
More about High Performance Computing HPC jobs
What cities are hiring for High Performance Computing Hpc jobs? Cities with the most High Performance Computing Hpc job openings:
What states have the most High Performance Computing Hpc jobs? States with the most job openings for High Performance Computing Hpc jobs include:
What job categories do people searching High Performance Computing Hpc jobs look for? The top searched job categories for High Performance Computing Hpc jobs are:
High Performance Computing HPC jobs near you
Infographic showing various High Performance Computing Hpc job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 81% Full Time, 14% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $68,249 per year, or $32.8 per hour.
High Performance Computing (HPC) Engineer

High Performance Computing (HPC) Engineer

Peak Systems

Dallas, TX • On-site

$72 - $82/hr

Contractor

Posted 4 days ago

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Job description

High Performance Computing (HPC) Engineer

Travel: Up to 50% (Customer Sites, Industry Events, Project Deployments)
Level: Mid-Senior Engineer
Reports To: Services Delivery Manager / Practice Director

There is a need for this role at Childress, TX.

Relocation Stipend - Monthly $1800.00



Position Overview

We are seeking a highly skilled High Performance Computing (HPC) Engineer to design, deploy, optimize, and support enterprise HPC and AI infrastructure solutions for customers across healthcare, research, education, manufacturing, government, and commercial industries.

The ideal candidate will possess strong technical expertise in HPC architecture, Linux administration, clustering technologies, high-speed networking, storage systems, and workload management. This is a high-visibility, customer-facing role requiring exceptional communication skills and the ability to engage with technical decision-makers, architects, and executive stakeholders.

This position involves significant customer interaction and travel to support solution design workshops, installations, migrations, performance tuning, and ongoing technical advisory services.


Key Responsibilities


Solution Design & Architecture

  • Design and architect enterprise HPC solutions utilizing:
    • Dell PowerEdge Servers
    • Dell PowerScale (Isilon)
    • Dell PowerStore
    • Dell ObjectScale/ECS
    • Dell Integrated Rack Solutions
  • Develop scalable compute, storage, and networking architectures for HPC and AI environments.
  • Perform capacity planning, workload analysis, and performance assessments Deployment & Implementation
  • Install, configure, and integrate HPC clusters at customer locations.
  • Deploy and manage Linux-based clustered environments.
  • Configure high-speed interconnects including:
    • InfiniBand
    • Ethernet (100/200/400GbE)
  • Deploy and support shared storage architectures.

Performance Optimization

Conduct benchmarking and performance analysis.

  • Optimize compute, memory, storage, and network utilization.
  • Identify and resolve bottlenecks affecting HPC workloads.
  • Support customer application tuning initiatives.

Customer Engagement

  • Lead technical discussions with customer engineering and IT teams.
  • Deliver architecture reviews and best-practice recommendations.
  • Serve as a trusted technical advisor throughout the project lifecycle.
  • Provide executive-level technical presentations when required.

Operations & Support

  • Troubleshoot complex hardware, software, networking, and storage issues.
  • Participate in escalated support engagements.
  • Create technical documentation, runbooks, and implementation guides.
  • Assist with disaster recovery and business continuity planning.

Collaboration

  • Work closely with internal engineering teams, product specialists, account managers, and technology partners.
  • Support proof-of-concept engagements and technology demonstrations.
  • Mentor junior engineers and share technical best practices.


Required Technical Skills

Operating Systems

  • Red Hat Enterprise Linux (RHEL)
  • Rocky Linux
  • AlmaLinux
  • SUSE Linux Enterprise Server (SLES)

HPC Cluster Technologies

  • Slurm Workload Manager
  • OpenHPC
  • Bright Cluster Manager (preferred)
  • Warewulf
  • xCAT

Storage Technologies

  • Dell PowerScale / Isilon
  • NFS
  • Lustre
  • BeeGFS
  • GPFS / IBM Spectrum Scale
  • Parallel file systems

Networking

  • InfiniBand
  • RoCE
  • High-speed Ethernet (100/200/400GbE)
  • Network performance analysis
  • RDMA technologies

HPC & AI Workloads

  • MPI (OpenMPI, Intel MPI)
  • GPU Computing
  • CUDA
  • NVIDIA GPU Platforms
  • AI/ML infrastructure deployment
  • Scientific and engineering applications

Virtualization & Cloud

  • VMware vSphere
  • Kubernetes
  • OpenShift
  • Hybrid cloud HPC architectures
  • Azure and AWS HPC services (preferred)

Automation & Scripting

  • Python
  • Bash
  • Ansible
  • Terraform (preferred)
  • Git

Monitoring & Management

  • Grafana
  • Prometheus
  • Nagios
  • Dell OpenManage Enterprise
  • Performance monitoring and capacity reporting


Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • 5-10+ years of experience supporting enterprise Linux and infrastructure environments.
  • 3-5+ years of hands-on HPC deployment and administration experience.
  • Strong troubleshooting skills across servers, storage, networking, and operating systems.
  • Experience working directly with enterprise customers in a consulting, professional services, or systems integration environment.
  • Excellent verbal, written, and presentation skills.
  • Ability to manage multiple customer projects simultaneously.


Preferred Qualifications

  • Experience designing, deploying, or supporting Dell HPC infrastructure and enterprise storage solutions.
  • NVIDIA certification or GPU deployment experience.
  • Red Hat Certification (RHCSA/RHCE).
  • Dell Technologies certifications (preferred).
  • Experience supporting AI and machine learning infrastructure.
  • Experience supporting research, life sciences, manufacturing, financial services, or government HPC environments.


Success Factors

The successful candidate will:

  • Be viewed as a trusted technical advisor by strategic customers.
  • Independently lead complex HPC infrastructure deployments.
  • Resolve challenging performance and infrastructure issues.
  • Communicate effectively with both engineering teams and executive stakeholders.
  • Thrive in a fast-paced, customer-facing consulting environment.


Travel Requirement: Up to 50% travel throughout the United States for customer meetings, solution deployments, health checks, and executive briefings.

This role is ideal for a senior infrastructure engineer, Linux architect, or HPC specialist looking to work with enterprise customers while designing and deploying cutting-edge HPC and AI infrastructure utilizing leading technologies, including Dell, NVIDIA, and other industry-leading platforms.

Company Description

For over 30 years, we’ve helped technology professionals build strong, rewarding careers by offering exposure to Fortune 500 clients and top-tier projects. Whether you're looking to expand your experience in data centers, AI infrastructure, field services, project management, or enterprise IT, we can connect you with exciting opportunities that help you build your career, develop new skills, and work on cutting-edge technology deployments.