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Internship High Performance Computing Engineer Jobs in North Carolina

End User Computing Engineer

Cary, NC · On-site

$65K - $70K/yr

Define and enforce patching SLAs for Critical, High, Medium, and Low severity patches per security ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Senior Architect, Data Center Modeling

Durham, NC · On-site

$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 ...

Senior Architect, Data Center Modeling

Durham, NC · On-site

$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 (MS ...

... 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 ...

End User Computing Engineer

Cary, NC · On-site

$65K - $70K/yr

Define and enforce patching SLAs for Critical, High, Medium, and Low severity patches per security ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Define and enforce patching SLAs for Critical, High, Medium, and Low severity patches per security ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Showing results 21-40

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 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:

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.

Integration Engineer

Morrisville, NC

QUANTUM COMPUTING, INC.
Computer and Peripheral Equipment Manufacturing • 51 - 200 employees

$85K - $200K/yr

Full-time

Posted 10 days ago


Key responsibilities

  • Develop, execute, and optimize semiconductor process flows for new and existing products.

  • Monitor and track product throughout the fabrication process and support process integration and yield improvement.

  • Identify and resolve process issues in collaboration with process engineering and support day-to-day operations.


Job description

Job Title: Integration Engineer

Location: Morrisville, NC

Division: NHanced

About Us: 

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.

QCi is seeking an Integration Engineer responsible for developing, executing, and optimizing semiconductor process flows for new and existing products. This role partners with customers, process engineers, and manufacturing teams to support product development, process integration, yield improvement, failure analysis, and continuous process optimization in a semiconductor fabrication environment

Scope of the Job:

  • Plan, lead, and carry out demonstrations of new products and process flows
  • Create production travelers start to end
  • Execute product throughout the fab by monitoring and tracking
  • Continuous improve integration process
  • Identify and resolve process issues together with process engineering team
  • Improve integrated process flow and travelers
  • Interface with customers and all levels of management
  • Evaluate and document new product flows and module processes and review SOW's
  • Maintain accurate documentation of wafer/lot process history
  • Support day-to-day operations and equipment maintenance
  • Identify new unit processes required for future customers
  • Maintain a safe work environment (may include housekeeping, labeling, and proper disposal of waste

Required Knowledge, Skills, and Abilities:

  • Strong understanding of semiconductor manufacturing processes and semiconductor packaging.
  • Experience with process integration, wafer fabrication, and device processing.
  • Failure analysis and root cause investigation experience.
  • Strong statistical analysis, troubleshooting, and problem-solving skills.
  • Ability to analyze customer requirements and translate them into manufacturing solutions.

Required Education & Experience:

  • Required: BS degree in Engineering, Technology, or Physical Sciences or related fields
  • 3+ years' experience working as a Process Engineer, Etch Engineer, Wet Engineer, or Thin Films Engineer in a semiconductor fab

Additional Preferred Skills:

  • Must be able to work flexible hours based on company needs
  • Masters or PhD Preferred
  • Quick learner with better than average fab process technologies
  • Good understanding of Statistical Process Control principles and application
  • Knowledge of project planning, design of experiment, and scheduling
  • Able to generate reports and present orally at meetings
  • Team-oriented outlook; works well in collaborative team environment and in individual roles
  • Clear, concise verbal and written skills
  • Can understand and communicate effectively with Management, Engineering, Vendors, Customers
  • Strong customer service skills
  • Ability to take on a leadership role
  • Flexible; willing to learn and grow in a startup culture
  • Reliability in attendance and work quality a must
  • Commitment to quality output
  • Able to expand roles/responsibilities
  • Understanding of semiconductor processes

Preferred Semiconductor Process Experience

  • Semiconductor Process Integration
  • Device Physics
  • Semiconductor Packaging
  • Failure Analysis
  • Yield Improvement
  • Statistical Process Control (SPC)
  • Design of Experiments (DOE)
  • Six Sigma
  • Etching
  • Thin Film Deposition (PVD, CVD, ALD)
  • Wafer Bonding
  • Cleaning Processes
  • Electroplating
  • Lithography / Photolithography
  • CMP (Chemical Mechanical Polishing)
  • Wafer Fabrication
  • Process Development
  • Semiconductor Manufacturing Operations
Work Environment & Physical Requirements
  • Work primarily in a fully gowned cleanroom environment.
  • Wear required PPE, including safety glasses, gloves, face shields, and steel-toe shoes.
  • Stand and walk for extended periods throughout the shift.
  • Handle wafers, tools, and manufacturing equipment daily.
  • Lift and move materials up to 50 lbs.
  • Frequently bend, reach, and perform repetitive tasks.


Quantum Computing Inc. (QCi) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.