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Internship High Performance Computing Engineer Jobs in North Carolina

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 ...

Bioinformatics Scientist

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

Bioinformatics Scientist

Durham, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

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

Postdoctoral Associate

Durham, NC · On-site

  • Medical

  • Retirement

  • PTO

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

In key sectors such as clean energy, advanced electronics, high-performance computing and AI ... The engineer will support day-to-day manufacturing troubleshooting while also driving improvements ...

New

Senior AI Systems Engineer

Raleigh, NC · On-site

$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 ...

Senior GPU Architect

Durham, NC

$125K - $170K/yr

Strong programming ability inC, C++, Perl andPython. * Background in computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing. NVIDIA is ...

Senior Site Reliability Engineer - HPC

Durham, NC · On-site

$55 - $73.25/hr

... High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex ... We're looking for a Senior SRE to join our Compute Farm team and help build the next generation of ...

Strong programming skills. * Experience with machine learning frameworks such as PyTorch or ... Familiarity with GPU computing and high-performance computing (HPC) environments. Other ...

Strong programming skills. * Experience with machine learning frameworks such as PyTorch or ... Familiarity with GPU computing and high-performance computing (HPC) environments. Other ...

Research Engineer

Raleigh, NC · On-site

$135 - $210/hr

Formulate and execute reactor core and system simulations using high-performance computing ( HPC ... For the Research Engineer position relevant Ph.D degree in Nuclear Engineering. Greater than or ...

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Showing results 41-60

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 the most commonly searched types of High Performance Computing Engineer jobs in North Carolina?

The most popular types of High Performance Computing Engineer jobs in North Carolina are:

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:

What cities in North Carolina are hiring for Internship High Performance Computing Engineer jobs?

Cities in North Carolina with the most Internship High Performance Computing Engineer job openings:

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.

Senior ASIC Verification Engineer

Nvidia

Durham, NC • On-site

Full-time

Re-posted 10 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

We are now looking for a Senior Verification Engineer for our Memory Management Unit.

NVIDIA is seeking outstanding ASIC Verification Engineer to verify the world's leading GPUs. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What you'll be doing:

  • As a senior member of our verification team, you'll understand the design & implementation with focus on Memory Management unit, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), implement test/coverage plans, and verify the correctness of the design.

  • Collaborate with architects, designers, software engineers across sites to accomplish your goals.

  • Plan and work on strategic direction of the methodology for the testbench with advance methodology.

What we need to see:

  • You have Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering or equivalent experience

  • 5+ years of relevant work or research experience

  • Exposure to Computer Architecture, ASIC design and verification methodology is required

  • Strong ability with SystemVerilog, C and/or C++, test planning, coverage closure, and creating reusable verification components.

  • Knowledgeable in constrained random testing with functional coverage and assertion-based verification.

  • Understanding of object oriented programming concepts.

  • Exposure to simulation tools like VCS, IES and debug tools like Debussy, GDB.

  • Strong interpersonal skills.

  • Good debugging and problem solving skills.

Ways to stand out from the crowd:

  • Understanding of memory subsystem micro-architecture, cache topologies and policies, memory management, interconnects, and/or arbiter designs is a huge plus.

  • Experience with Universal Verification Methodology (UVM), SystemVerilog checkers and scoreboards. Assertion-based verification, Semiformal Verification (SFV).

  • Perl or Python knowledge.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of High Performance Computing, Graphics and AI.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 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


Nvidia logo

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