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Internship High Performance Computing Engineer Jobs in Texas

As a Senior High Performance Computing Engineer (HPC), you will provide technical expertise and consultation for the design and deployment of HPC systems. Get in on the ground floor with a team that ...

CPU Performance Architect

Austin, TX · On-site

$165K/yr

... internship experiences. Minimum Qualifications: The candidate must have a Bachelor's Degree in ... Engineering, or related computing discipline and experience listed below. * High performance micro ...

CPU Performance Architect

Austin, TX · On-site

$165K/yr

... internship experiences. Minimum Qualifications: The candidate must have a Bachelor's Degree in ... Engineering, or related computing discipline and experience listed below. * High performance micro ...

Build the Future of High-Performance Computing Join Intel's Communication Runtimes team and develop ... experience, internship experience and / or schoolwork/classes/research. The preferred ...

HPC Platform Engineer

Houston, TX · Hybrid

$70 - $90/hr

Summary We are partnering with a global high-performance computing and scientific software consulting firm seeking an HPC Platform Engineer to support enterprise energy clients in Houston. This is a ...

Senior Electrical Engineer

Dallas, TX · Hybrid

$106K - $138K/yr

Senior Electrical Engineer (Mission Critical / Data Centers / Advanced Infrastructure) Company Name ... Mission Critical, Data Centers, High-Performance Computing (HPC/AI), High-Reliability Power Systems ...

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Internship High Performance Computing Engineer information

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.
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Senior HPC Engineer

Tamus

College Station, TX • On-site

$11K/mo

Full-time

Posted 21 days ago


Job description

Job Title

Senior HPC Engineer

Agency

Texas A&M University

Department

Technology Services - IT Enterprise Operations

Proposed Minimum Salary

$11,666.67 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

Here's a Glimpse of the Job
We are making a bold leap into the future of artificial intelligence with a $45 million investment in an NVIDIA DGX SuperPOD. This investment underscores our commitment to all Texas A&M System members' faculty and staff providing cutting-edge research and super computing needs. As a Senior High Performance Computing Engineer (HPC), you will provide technical expertise and consultation for the design and deployment of HPC systems. Get in on the ground floor with a team that is shaping the next generation of innovation.

This position is security sensitive requiring U.S. Citizenship.


Opportunities to Contribute

  • Manage large-scale HPC cluster operations, including OS upgrades, firmware patching, and performance tuning.

  • Oversee networking, security, and infrastructure for HPC systems.

  • Lead the development of specialized HPC computing clouds and scalable storage systems.

  • Collaborate with stakeholders to develop service-based solutions.

  • Serve as a strategic technical resource across departments.

  • Lead enterprise-wide HPC projects using established project management protocols.

  • Mentor junior system administrators and enforce performance standards.


What you need to know
Salary: $130-140k annually

Location: In-person role in College Station, Texas
Schedule: This role may require working outside of standard office hours, including evenings, weekends, and holidays, to support the demands of technology services and ensure the seamless operation of essential systems.
Citizenship: Must be a United States citizen, permanent resident, or a person granted asylum or refugee status in accordance with 15 CFR, Part 762; 22 CFR 122.5, 123.22 and 123.26; and 31 CFR 501.601


Qualifications

  • Bachelor's degree in applicable field or equivalent combination of education and experience

  • 12 years of related experience

A well-qualified candidate should possess one or more of the following:

  • Experience with High Performance Computing (HPC) environments

  • Advanced Linux system administration skills

  • Familiarity with computer networking concepts and protocols

  • Experience with container orchestration tools such as Kubernetes

  • Knowledge of Run:ai for AI workload management

  • Proficiency with Slurm workload manager

  • Experience working with NVIDIA DGX systems

  • Understanding of virtualization technologies

  • Familiarity with Infrastructure as a Service (IaaS) platforms

  • Experience with DDN storage solutions

  • Knowledge of network-attached storage systems

Knowledge, Skills, and Abilities:

  • Expertise in scalable supercomputing architectures, interconnects, and storage systems.

  • Proficiency in scripting (Python, Bash, Perl) and scientific computing (MPI, OpenMP, CUDA).

  • Experience with configuration management tools (Ansible, Puppet).

  • Familiarity with container technologies (Docker, Singularity, Kubernetes).

  • Strong troubleshooting, communication, and strategic planning skills.

Other Requirements and Factors:

  • This role may require working outside of standard office hours, including evenings, weekends, and holidays, to support the demands of technology services and ensure the seamless operation of essential systems.

  • This position is security sensitive.

  • This position requires compliance with state and federal laws/codes and Texas A&M University System/TAMU policies, regulations, rules and procedures.

  • All tasks and job responsibilities must be performed safely without injury to self or others in compliance with System and University safety requirements.This position is security sensitive.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.