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Internship High Performance Computing Engineer Jobs in Raleigh, NC

Duke University

Postdoctoral Associate

Durham, NC · On-site

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

ARA

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 ...

Nvidia

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 ...

Nvidia

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 ...

Duke University

Associate in Research

Durham, NC · On-site

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

Duke University

Associate in Research

Durham, NC

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

NC State University

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

As of Aug 20, 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

Postdoctoral Associate

Duke University

Durham, NC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago

Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

488th of 620 rated colleges and universities

Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.
Be You.
The Department of Population Health Sciences in Duke University School of Medicine invites applications for a Postdoctoral Research Associate to join a rigorous, data-intensive research team. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification, and large-scale simulation. The successful candidate will contribute to the development of an HIV epidemic simulation that integrates dynamic social and sexual networks, heterogeneous susceptibility and infectiousness, treatment and prevention interventions, and realistic behavioral processes to evaluate strategies for reducing HIV transmission.
The Postdoctoral Associate will train under the primary mentorship of Dr. Dana Pasquale within a highly collaborative environment that includes expertise in infectious disease epidemiology, network science, computational immunology, mathematical modeling, and HIV clinical care. The position is intended to provide intensive methodological training, opportunities for scientific leadership, and support for developing an independent research program.
The project centers on the development of a calibrated agent-based HIV epidemic simulation representing populations in the U.S. South. The model will incorporate realistic network structures, behavioral dynamics, treatment uptake and adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios.
Minimum Requirements:
A PhD degree is required.
Preferred Qualifications:
  • Experience with mathematical, computational, or statistical modeling
  • Experience developing simulation models, agent-based models, network models, stochastic systems, or dynamical systems
  • Experience with R or Python
  • Experience working in high-performance computing environments
  • Familiarity with version control systems such as Git or GitHub
  • Demonstrated scientific writing and publication experience
  • Interest in infectious disease modeling, network science, public health, or population dynamics

Ideal for candidates who:
  • Have recently completed (or are near completion of) a doctoral degree in Applied Mathematics, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field
  • Demonstrate strong computational and quantitative problem-solving skills
  • Have experience developing reproducible analytical workflows
  • Are interested in large-scale simulation, uncertainty quantification, and model calibration
  • Are motivated to work on interdisciplinary scientific questions that combine social, behavioral, biological, and population-level processes
  • Exhibit strong critical thinking, creativity, and attention to detail
  • Are interested in leading scientific manuscripts and developing independent research ideas for future grant funding

Be Bold.
Position Description:
Agent-Based and Network Modeling: The Postdoctoral Associate will lead development of an agent-based HIV epidemic simulation that integrates realistic social and sexual networks with individual-level behavioral and biological processes. The position involves designing simulation architectures, implementing dynamic network models, developing synthetic populations, and evaluating intervention scenarios relevant to HIV interventions.
Open-Source Code and Model Development: The Postdoctoral Associate will contribute to the creation of scalable, reproducible software for epidemic simulation and analysis. Responsibilities include model implementation, workflow automation, software documentation, performance optimization, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable.
Model Calibration, Validation, and Uncertainty Quantification: The Postdoctoral Associate will develop and implement approaches for parameter estimation, calibration, validation, sensitivity analysis, and uncertainty quantification. This work will involve integrating observational and surveillance data into simulation frameworks and evaluating model performance against population-level epidemiological targets.
Manuscripts & Scientific Communication: The Postdoctoral Associate will lead and contribute to peer-reviewed publications, conference presentations, and scientific reports. The position is structured to support first-author publications and the development of a strong publication portfolio. The candidate will also have opportunities to contribute to grant applications and develop independent research ideas for future external funding.
Collaborative Team Science: The Postdoctoral Associate will work closely with an interdisciplinary team of investigators with expertise spanning epidemiology, mathematics, network science, computational immunology, and HIV medicine. The position offers opportunities to collaborate across multiple disciplines while maintaining substantial scientific independence.
Professional Development: The position is designed to support the transition to research independence. The Postdoctoral Associate will receive mentorship in scientific leadership, manuscript development, external grant writing, and career development. Candidates interested in pursuing academic, government, industry, or research-intensive careers are encouraged to apply.
Appointment:
This is a full-time, 12-month appointment supported by project funding. Continued employment beyond the project period is dependent on the availability of future project funding.
Hybrid and remote work arrangements may be considered for highly qualified candidates.
Required Application Documents:
  • Current CV
  • Cover letter describing research interests and career goals
  • Statement of research interests
  • One representative writing sample (reflecting independent work)
  • Contact information for three references

Choose Duke.
Join our award-winning team as identified by Forbes magazine as America's Best Large Employer 2024 and be part of an inclusive culture that values excellence, innovation, and discovery. As an organization, we have exciting opportunities to be forward-thinking leaders in our field. We want talented individuals to join us, examine our current operations, and create innovative solutions that will revolutionize and enhance the way we approach our work.
Duke University is consistently ranked among the top universities worldwide and is renowned for its cutting-edge research across disciplines.
Beyond the engaging work, you'll also benefit from Duke's competitive benefits package including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their children, and more.
Diversity Statements:
Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.
Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

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Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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