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Internship High Performance Computing Engineer Jobs in Raleigh, NC

Nvidia

Senior GPU Memory Architect

Durham, NC · On-site

NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the ...

UNC-Chapel Hill

HPC DevOps Engineer

Chapel Hill, NC · On-site

$45 - $61.50/hr

... High Performance Computing (HPC) as well as High Throughput Computing (HTC). Responsibilities of the HPC DevOps Engineer include leading and contributing to a variety of areas within Research ...

Penguin Computing

Manager, Software Engineering

Durham, NC · On-site

$165K - $195K/yr

That engineering expertise positions us to power the next generation of AI workloads, from training ... High Performance Computing (HPC) * Enterprise SaaS platforms Location Hybrid in Raleigh/Durham, NC ...

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 ...

Lenovo

HPC and AI Sales Specialist

Morrisville, NC · On-site

HPC And AI Sales Specialist Are you passionate about High Performance Computing (HPC) and AI? Join ... Bachelor's degree in Engineering, Information Technology, Business, or related field (or equivalent ...

New

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 ...

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 ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Use commercial software, freeware, custom-developed solutions, and high-performance computing ... programming, laboratory, and interdisciplinary meetings. * Prepare reports, protocols, technical ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site +1

Use commercial software, freeware, custom-developed solutions, and high-performance computing ... programming, laboratory, and interdisciplinary meetings. * Prepare reports, protocols, technical ...

Duke University

Postdoctoral Associate

Durham, NC

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

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

As of Aug 19, 2026, the average hourly pay for internship high performance computing engineer in Raleigh, NC is $58.43, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.11 per hour, depending on experience, location, and employer.

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 the most commonly searched types of High Performance Computing Engineer jobs in Raleigh, NC?

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Internship High Performance Computing Engineer jobs near you

Senior GPU Memory Architect

Nvidia

Durham, NC • On-site

Full-time

Re-posted 22 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company.

What you will be doing:

  • Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.

  • Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$.

  • Develop and enhance architecture prototype models for power and noise analysis.

  • Participate in performance and power simulation of features to analyze, define, and improve energy per byte.

  • Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.

  • Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.

  • Collaborate with outside partners on system infrastructure.

What we want to see:

  • 10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.

  • Bachelors in Electrical Engineering, Computer Science, or related field (or equivalent experience).

  • Expertise in power analysis and modeling in pipeline-based architectures.

  • Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.

  • Experience with C, C++, and some scripting languages.

Ways to stand out from the crowd:

  • MS/PhD in Electrical Engineering, Computer Science, or related field

  • Experience with hardware design languages such as Verilog or VHDL

  • Prior experience in developing and optimizing algorithms for power efficiency

  • Demonstrated ability to innovate and drive continuous improvement in system architecture

  • Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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

Year founded

1993

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