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Internship High Performance Computing Engineer Jobs in Raleigh, NC

NVIDIA

Senior Software Engineer, CUTLASS Platform

Durham, NC · On-site

$118K - $156K/yr

NVIDIA is a leader in high-performance computing platforms driving the AI revolution across various industries. They are seeking a Senior Software Engineer to develop core components of the CUTLASS ...

Ampere Computing LLC

Circuit Design Engineer

Durham, NC · On-site

$147K - $220K/yr

As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of ... Electrical or Computer Engineering - Bachelor's degree & 5 years of related experience; or MS ...

Contemporaries

Data Engineer

Durham, NC · On-site

$57 - $63/hr

... Data Engineer to support environmental health and extreme weather research initiatives. This ... Configure and optimize workflows within high-performance computing environments, including job ...

NVIDIA

Senior Architect, Data Center Modeling

Durham, NC · On-site

$65 - $87/hr

... high-performance computing and AI technologies. Qualifications : Required : • Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent ...

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 ...

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 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 ...

Nvidia

Senior Software Engineer, CUTLASS Kernels

Durham, NC · On-site

$118K - $156K/yr

NVIDIA's high-performance computing platforms are powering the AI revolution across many ... Strong proficiency in C++ programming and software design, including debugging, performance ...

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 · 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 ...

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Raleigh, NC

Internship High Performance Computing Engineer information

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$10

$58

$95

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

As of Jul 9, 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 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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Internship High Performance Computing Engineer jobs near you
Senior Software Engineer, CUTLASS Platform

Senior Software Engineer, CUTLASS Platform

NVIDIA

Durham, NC • On-site

$118K - $156K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
NVIDIA is a leader in high-performance computing platforms driving the AI revolution across various industries. They are seeking a Senior Software Engineer to develop core components of the CUTLASS platform, contributing to high-performance linear algebra and Tensor Core primitives and collaborating with other teams to enhance GPU programming models.
Responsibilities:
• Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.
• Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.
• Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance.
• Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features.
Qualifications:
Required:
• Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 3+ years of relevant industry experience.
• Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.
• Experience working with high-performance code generation and knowledge of compiler transformations and optimizations.
• A deep understanding of computer architecture and parallel computing programming models.
Preferred:
• Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures.
• Hands-on compiler design experience, particularly in MLIR.
• Understanding of deep learning models, algorithms, and frameworks.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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

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