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Internship High Performance Computing Engineer Jobs in North Carolina

Nvidia

HPC Operations Engineer

Durham, NC · Hybrid

$67K - $90K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

Nvidia

Senior System Simulation Architect

Durham, NC · On-site

... high-performance computing (HPC) workloads. * Port/extend/develop system software (firmware, OS, and drivers) to meet workload simulation needs. * Support CPU architects and performance engineers in ...

Nvidia

HPC Operations Engineer

Durham, NC · Hybrid

$67K - $90K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

Nvidia

Senior System Simulation Architect

Durham, NC

... high-performance computing (HPC) workloads. Port/extend/develop system software (firmware, OS, and drivers) to meet workload simulation needs. Support CPU architects and performance engineers in ...

Deloitte

HPC AI Solution Architect (S2S)

Charlotte, NC · On-site

... Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with ...

Deloitte

HPC AI Solution Architect (S2S)

Raleigh, NC · On-site

... Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with ...

Nvidia

Senior ASIC Verification Engineer

Durham, NC · On-site

We are now looking for a Senior Verification Engineer for our Memory Management Unit. NVIDIA is ... High Performance Computing, Graphics and AI. Your base salary will be determined based on your ...

Lenovo

Cluster Solution Engineer

Morrisville, NC · On-site

... high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable ...

Nvidia

Senior ASIC Verification Engineer

Durham, NC

We are now looking for a Senior Verification Engineer for our Memory Management Unit. NVIDIA is ... High Performance Computing, Graphics and AI. Your base salary will be determined based on your ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ... high-performance computing environments. * Familiarity with security frameworks and compliance ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

Experience working in high-performance computing environments * Familiarity with version control ... Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field

Duke University

Postdoctoral Associate

Durham, NC · On-site

Experience working in high-performance computing environments * Familiarity with version control ... Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field

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Internship High Performance Computing Engineer information

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 key skills and qualifications needed to thrive as an internship high performance computing engineer?

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 are popular job titles related to Internship High Performance Computing Engineer jobs in North Carolina?

For Internship High Performance Computing Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Internship High Performance Computing Engineer jobs in North Carolina look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in North Carolina are:

Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in North Carolina as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

HPC Operations Engineer

Durham, NC • Hybrid

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$67K - $90K/yr

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you will be part of a world-class team that powers semiconductor build and advanced engineering workflows. By joining us, you will help develop the future of computing while being immersed in an innovative and encouraging environment.


What you'll be doing:

  • Provide first-line support for HPC users across scheduling, compute, storage, and access-related issues

  • Troubleshoot job failures, scheduler errors, resource constraints, and performance concerns, driving issues to resolution or appropriate customer concern

  • Perform triage of infrastructure incidents, gathering diagnostics and advancing to subject matter experts (SMEs) when issues extend beyond defined ownership

  • Monitor system health, queues, node status, and service availability to ensure stable daily operations

  • Complete established operational procedures for maintenance, patching, and configuration updates

  • Develop and maintain operational documentation, runbooks, knowledge base articles, and guidelines for users and internal teams

  • Contribute to improving team processes by identifying recurring issues and proposing practical workflow refinements


What we need to see:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent experience

  • 2+ years of experience supporting Linux-based production environments

  • Solid Linux systems administration fundamentals (RHEL/CentOS and/or Ubuntu)

  • Ability to troubleshoot technical issues methodically and determine when a customer concern requires attention

  • Experience interacting directly with users in a technical support or operations role

  • Strong written communication skills with the ability to produce clear documentation and procedural guides

  • Demonstrated ability to follow established processes while maintaining attention to detail


Ways to stand out from the crowd:

  • Foundational scripting or automation experience (e.g., Bash or Python) sufficient to support routine operational tasks

  • Solid understanding of workload schedulers such as LSF, Slurm, or similar systems

  • Strong grasp of network computing supporting infrastructure (NFS, automounter, LDAP)

  • Experience supporting HPC or large-scale compute environments

  • Familiarity with EDA workloads


NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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