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Internship High Performance Computing Engineer Jobs in Frisco, TX

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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 ...

Sr. Software Engineer

Irving, TX · Remote

$170K - $220K/yr

Cloud Infrastructure, High-Performance Computing (HPC), Software Engineering Location (City, State): Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ...

Sr. Software Engineer

Irving, TX · On-site

$170K - $220K/yr

Cloud Infrastructure, High-Performance Computing (HPC), Software Engineering Location (City, State): Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ...

Technical Product Manager

Irving, TX · On-site

$150K - $200K/yr

This role will partner with engineering, architecture, and business stakeholders to define scalable networking solutions that meet the evolving needs of AI and high-performance computing environments.

Technical Product Manager

Irving, TX · Remote

$150K - $200K/yr

This role will partner with engineering, architecture, and business stakeholders to define scalable networking solutions that meet the evolving needs of AI and high-performance computing environments.

Software Engineer II -Algorithms (Onsite)

Plano, TX · On-site

$93K - $128K/yr

The Algorithms Software Engineer II will be responsible for implementing system-level architecture ... high-performance computing environments. Responsibilities : • Work alongside scientists ...

Mechanical Engineer III (Senior-Level) - Mission Critical & Data Centers Company Name: DFW ... Data Centers, Mission Critical, Telecom, and High-Performance Computing (HPC/AI) Work Setting: In ...

Mechanical Engineer III (Senior-Level) - Mission Critical & Data Centers Company Name: DFW ... Data Centers, Mission Critical, Telecom, and High-Performance Computing (HPC/AI) Work Setting: In ...

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Internship High Performance Computing Engineer information

See Frisco, TX salary details

$10

$56

$91

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

As of Jul 29, 2026, the average hourly pay for internship high performance computing engineer in Frisco, TX is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.11 and $63.65 per hour, depending on experience, location, and employer.

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

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

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

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
What job categories do people searching Internship High Performance Computing Engineer jobs in Frisco, TX look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Internship High Performance Computing Engineer jobs? Cities near Frisco, TX with the most Internship High Performance Computing Engineer job openings:
High Performance Computing (HPC) Engineer

High Performance Computing (HPC) Engineer

Peak Systems

Dallas, TX • On-site

$72 - $82/hr

Contractor

Posted 8 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.