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Internship High Performance Computing Engineer Jobs in Raleigh, NC

Nvidia

Senior Architect, Data Center Modeling

Durham, NC

$65 - $87/hr

... high-performance computing and AI technologies. What we need to see: * Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience ...

VAST Data

Customer Support Engineer

Raleigh, NC · On-site +1

... and high-performance computing at customer sites and in the lab. You will work directly with ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

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 ...

Deloitte

HPC AI Solution Architect (S2S)

Raleigh, NC · On-site

$61.25 - $80.75/hr

... Engineer on their Silicon2Service team. The role involves designing and deploying integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure ...

Nvidia

Senior GPU Memory Architect

Durham, NC

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 ...

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 ...

Nvidia

Senior Debugger Software Engineer - IDE

Durham, NC · On-site

$118.40K - $156.10K/yr

Join the NVIDIA Developer Tools team and empower engineers throughout the world developing groundbreaking products in Automotive, Gaming, Deep Learning, and High Performance Computing. See your ...

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 ...

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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 May 30, 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 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 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 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 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? The most popular types of High Performance Computing Engineer jobs in Raleigh, NC are:
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What cities near Raleigh, NC are hiring for Internship High Performance Computing Engineer jobs? Cities near Raleigh, NC with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you
Technical Intern, Analog Power Design

Technical Intern, Analog Power Design

Ampere Computing LLC

Durham, NC • On-site

$46 - $51/hr

Internship

Medical, Dental, Vision

Posted yesterday

Job description

Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the role:
We are a growing Processor Design group, advancing the art of high-performance CPU circuit design. In this role as an analog/power design engineering Intern, you will make an impact in the modeling of various SoC power delivery building-blocks in conjunction with the PCB/Package Power Delivery Network (PDN). This role will also provide opportunities to collaborate with teams across the company such as logic, custom analog, and physical design.
The Ampere Internship program focuses on you to build your networks, support your efforts in making an impact, and giving you exposure to what Ampere does and how Ampere operates across the company. We want you to leave with the feeling that what you've worked on made a difference, a new level of confidence of what you're capable of, technical expertise, and a new network of contacts.
Internship period is full-time for summer 2026 (May/June - August/September).
What you'll achieve:
  • Good understanding of passive circuit networks and PWM control theory
  • Independent, self-motivated, professional attitude and strong desire to succeed
  • Experience with Cadence design suite for schematic entry, layout and Spice simulations

About you:
  • Model and simulate various Power Delivery Networks (PDN) with state-of-the-art PWM Control including TLVR (Trans-Inductor Voltage Regulator), Integrated Voltage Regulators and Voltage Droop Mitigators
  • Work with Power Integrity team to extract and simulate PDN s-parameters for droop performances at various load profiles
  • Work with the analog and mixed signal team to build optimal control architectures
  • Excellent written, verbal, and interpersonal communication skills

Education:
Currently pursuing a master's degree in Electrical Engineering, or Computer Engineering, or related field.
What we'll offer:
At Ampere we believe in taking care of our interns and providing a competitive rewards package that includes an hourly rate and comprehensive benefits. The pay range for this role is between $46 and $51 per hour.
Benefits highlights include:
  • Premium medical, dental, and vision insurance
  • Mentorship and on-the-job training from industry experts
  • Ergo friendly desk set-up
  • Vibrant game rooms to take a break and bond with colleagues
  • Micro-kitchens with a variety of healthy snacks, espresso, and refreshing drinks

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our interns to do more and grow more. We are excited to share more about our internship opportunities with you through the interview process.
Internships are open to all eligible students regardless of age including veterans who returned to school.
#LI-TC
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

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