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Internship High Performance Computing Engineer Jobs in Raleigh, NC

Familiarity with FPGA, GPU, embedded systems, or high-performance computing architectures. * Strong ... Prior technical leadership, Chief Engineer, or Principal Engineer experience. * Experience with ...

Senior AI Systems Engineer

Raleigh, NC ยท On-site +1

$92.40K - $126.40K/yr

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

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 ...

Machine Learning & Operations Engineer

Durham, NC ยท Remote

$71.10K - $96.20K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Background in distributed systems or high-performance computing * Experience with workflow ...

Machine Learning & Operations Engineer

Durham, NC ยท Remote

$67.20K - $90.80K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Background in distributed systems or high-performance computing * Experience with workflow ...

Senior GPU Architect

Durham, NC

$125.10K - $170.10K/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 AI Systems Engineer

Raleigh, NC ยท On-site

$92.40K - $126.40K/yr

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

... 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 ...

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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:
What are popular job titles related to Internship High Performance Computing Engineer jobs in Raleigh, NC? For Internship High Performance Computing Engineer jobs in Raleigh, NC, the most frequently searched job titles 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:
CPU Performance - Principal Microarchitecture Exploration Engineer

CPU Performance - Principal Microarchitecture Exploration Engineer

ARM

Raleigh, NC โ€ข On-site

$249.90K - $338.10K/yr

Other

Posted 6 days ago


Job description

Location:ย Austin, TX or Raleigh, NC

About Arm

Arm is the industry's leading supplier of microprocessor technology, offering the widest range of microprocessor cores to address the performance, power, and cost requirements for almost all application markets. With a vibrant ecosystem of over 1,000 partners and more than 150 billion processors shipped, our technology is at the heart of a computing and connectivity revolution that continues to transform the way people live and businesses operate.

The CPU Performance team is part of Armโ€™s worldwide CPU development group. This diverse, engineering-focused team defines, designs, and validates Arm processor IP, collaborating with the worldโ€™s leading technology companies to enable innovation across billions of devices.

Role Description

We are seeking aย CPU Micro-architectย to join our CPU Performance team in Austin or Raleigh. In this role, you will focus onย defining the microarchitecture for Armโ€™s next-generation Cortex-X and Neoverse CPUs. You will drive innovations in CPU design by developing performance models, analyzing workloads, and shaping the architecture that will power billions of devices. This position provides the opportunity to work across architecture, design, and performance analysis, while influencing both Armโ€™s internal design direction and partner engagement.

Responsibilities

As part of the CPU Performance โ€“ uArch Exploration team, you will be accountable for:

Architecture Definition & Innovation

  • Define and design next-generation CPU microarchitecture with industry-leading performance, power, and area efficiency.
  • Propose and evaluate microarchitectural innovations using cycle-accurate and functional simulators.
  • Estimate impacts on performance, power, and area to guide design trade-offs.

Performance Analysis

  • Develop and refine performance models to evaluate new microarchitectural ideas.
  • Analyze workloads and identify sensitivities to guide design choices.
  • Correlate simulation and performance results to ensure accuracy of models.

Collaboration & Influence

  • Partner with CPU design teams to integrate architectural innovations into real designs.
  • Engage with ecosystem partners to understand future performance requirements and workload expectations.
  • Present and communicate complex technical concepts clearly across diverse audiences.

Mentorship & Leadership

  • Provide technical mentorship to less-experienced engineers in microarchitecture and performance analysis.
  • Contribute to the continuous improvement of team methodologies, tools, and workflows.
Required Skills and Qualifications
  • Computer Science, Electrical Engineering, or Computer Engineering.
  • 15 years shown experience in CPU/system microarchitecture development, performance modeling, or microarchitectural workload analysis.
  • Proven expertise in high-performance CPU microarchitecture.
  • Deep understanding of performance, power, and area trade-offs.
  • Hands-on experience with cycle-accurate simulators and performance modeling infrastructure.
  • Strong analytical and problem-solving skills, with the ability to debug and reason across complex systems.
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Demonstrated track record of successful microarchitectural innovation from concept through implementation.
  • Familiarity with advanced software engineering practices, performance profiling, and programming in multiple languages (C++, Python, etc.).
  • Experience directly contacting customers or partners to gather requirements and present findings.
  • Passion for continuous learning and driving improvements in methodology and tools.
In Return:

You will apply your engineering skills to build support for technologies and influence millions of devices for years to come. Youโ€™ll share ideas with and learn new skills from some of the best engineers in the world!

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and donโ€™t discriminate on the basis of any characteristic.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Salary Range:$249,900-$338,100 per year

We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employment Type: Established