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Internship High Performance Computing Engineer Jobs in Houston, TX

Data Center Technician

Houston, TX ยท On-site

$30 - $36/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

The High-Performance Computing (HPC) team is responsible for providing application and ... Supervisory responsibilities for a team of 5 - 10 engineers, * Provide clear work direction ...

POD Test Engineer Position Summary The POD Test Engineer is responsible for supporting, maintaining ... Experience with AI servers, GPU platforms, liquid cooling systems, or high-performance computing ...

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Internship High Performance Computing Engineer information

See Houston, TX salary details

$10

$57

$93

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

As of Jul 17, 2026, the average hourly pay for internship high performance computing engineer in Houston, TX is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $64.95 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 are the most commonly searched types of High Performance Computing Engineer jobs in Houston, TX? The most popular types of High Performance Computing Engineer jobs in Houston, TX are:
What are popular job titles related to Internship High Performance Computing Engineer jobs in Houston, TX? For Internship High Performance Computing Engineer jobs in Houston, TX, the most frequently searched job titles are:
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What cities near Houston, TX are hiring for Internship High Performance Computing Engineer jobs? Cities near Houston, TX with the most Internship High Performance Computing Engineer job openings:

Data Center Technician

Introl

Houston, TX โ€ข On-site

$30 - $36/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 9 days ago


Job description

About Houston

Houston's data center market serves the energy sector's massive computing needs along with growing enterprise demand. The city offers abundant power capacity and strategic connectivity for GPU infrastructure.

About Introl

Introl stands apart as a leader in GPU infrastructure deployments, specializing in large-scale GPU cluster deployments having deployed 100,000+ of the most advanced GPUs available. When failure is not an option, Introl delivers.

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime.

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in hyperscale data centers and advanced AI research facilities. Weโ€™re looking for exceptional talent who thrive in high-pressure, high-reward environments.

Position Overview

Introl is seeking experienced Data Center Technicians to join our team as hourly, project-based W-2 employees supporting GPU infrastructure deployment projects across the U.S. This role is ideal for individuals who enjoy hands-on technical work in fast-paced environments and are looking to contribute to high-impact, mission-critical deployments.

As a W-2 hourly employee, you will work under the direction of Introl project leadership and collaborate closely with cross-functional teams to execute data center builds, upgrades, and migrations. Assignments are project-based and may vary in duration, location, and scope depending on business needs.

This is an hourly position with compensation based on experience, project complexity, and location, with opportunities for continued project assignments based on performance and business demand.

Key Responsibilities

GPU Infrastructure & Hardware Management

Deploy, configure, and maintain large-scale GPU clusters and high-performance computing systems

Install, troubleshoot, and repair GPU servers, networking equipment, and associated hardware

Perform hardware diagnostics and coordinate large-scale fiber optic connectivity

Execute precise hardware migrations and rack installations

Data Center Operations

Monitor and maintain data center infrastructure including power, cooling, and environmental systems

Perform routine maintenance on servers, storage systems, and networking equipment

Execute data center migrations ranging from single racks to full facility relocations

Support optimal performance and availability of deployed systems

Technical Support & Troubleshooting

Diagnose and resolve complex hardware and network connectivity issues

Perform system upgrades, patches, and configuration changes

Document all work performed in accordance with company and industry standards

Quality Assurance & Safety

Adhere to applicable laws, rules, and regulations (e.g., OSHA, NEC)

Conduct quality control checks on all installations and deployments

Maintain clean room standards and proper electrostatic discharge procedures

Required Qualifications

Technical Skills

2+ years of experience in data center operations or hardware deployment

Strong knowledge of server hardware, networking equipment, and data center infrastructure

Experience with GPU systems, high-performance computing, or AI infrastructure preferred

Proficiency with fiber optic installations and network cabling

Understanding of power distribution, cooling systems, and environmental monitoring

Core Competencies

Ability to work in fast-paced, high-pressure environments

Strong problem-solving skills and attention to detail

Excellent communication and documentation abilities

Physical ability to lift up to 50 lbs. and work in confined spaces

Availability during nights, weekends, or non-standard hours as needed

Legal authorization to work in the U.S. without sponsorship

Certifications (Preferred)

CompTIA Server+ or equivalent hardware certification

Data center or network infrastructure certifications

Fiber optic installation certification

Vendor-specific certifications (NVIDIA, AMD, Intel)

Employment Structure & Expectations

This is a W-2 hourly, project-based position

Employees are scheduled and assigned to specific projects based on business needs

Work hours may vary depending on project timelines and operational requirements

Overtime may be required and will be compensated in accordance with applicable laws

Employees are expected to follow all company policies, safety standards, and reporting structures

Tools, equipment, and materials will be provided as required for project execution

Compensation & Benefits

Hourly rate commensurate with experience and project scope

Overtime eligibility in accordance with federal and state law

Access to Introl employee benefits (where applicable based on eligibility), which may include:

Medical, dental, and vision coverage

401(k) plan

Paid sick time in accordance with state/local requirements

Opportunities for continued project assignments and career growth within Introl