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Internship High Performance Computing Engineer Jobs in Camden, NJ

RCH Solutions

Scientific Computing Cloud Architect

Wayne, PA · Remote

$66.50 - $84.75/hr

This role will focus on architecting and supporting high-performance computing (HPC) environments ... Mentor engineering teams and support capability development Essential Qualifications: * 10-12 ...

Introl

Data Center Technician

Philadelphia, PA · On-site

$22 - $35/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

Datavault AI Inc.

UI/UX Engineer

Philadelphia, PA · On-site

$89K - $111K/yr

Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions ... Collaborate closely with product managers, engineers, and other stakeholders throughout the design ...

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All JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Camden, NJ

Internship High Performance Computing Engineer information

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

As of Jun 13, 2026, the average hourly pay for internship high performance computing engineer in Camden, NJ is $60.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.65 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.
What job categories do people searching Internship High Performance Computing Engineer jobs in Camden, NJ look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Camden, NJ are:
What cities near Camden, NJ are hiring for Internship High Performance Computing Engineer jobs? Cities near Camden, NJ with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you
Research Computing Support Specialist (PSS1), Information Resources & Technology

Research Computing Support Specialist (PSS1), Information Resources & Technology

Rowan University

Glassboro, NJ • On-site

$85K - $98K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 2 days ago

Rowan University rating

8.4

Company rating: 8.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

76th of 536 rated colleges and universities

Job description

Research Computing Support Specialist (PSS1), Information Resources & Technology
Job no: 501353
Work type: Regular Full-Time
Location: Glassboro, New Jersey
Categories: Professional
Research Computing Specialist (PSS1)
Rowan University is seeking an experienced and adaptable System Administrator to join our Research Computing team. In this position, you will be responsible for supporting hardware and software needs related to scientific computing used in education and research at Rowan University. Reporting to the Director of Enterprise System Administration, and working closely with the Director of Operations of the Center for Scientific Computing (CSC), you will be a member of the Enterprise System Administration team as well as the CSC community.
What you get to do:
  • Collaborating with faculty and researchers to architect and estimate computational equipment requirements.
  • Architecting and configuring computational equipment for both individual teaching/research labs and centralized computing facilities (High Performance Computing), as well as setting up user access, compiling, installing, and optimizing scientific computing software, and participating in the delivery of user training.
  • Optimizing the enforcement of security configurations and standards for scientific computing equipment per the project-specific security level requirements.
  • Contributing to the design and execution of dedicated research environments.
  • Partnering with faculty and researchers to streamline the "Get Technology" procurement process for expedited approvals.
  • Providing support and maintenance of scientific computing systems and software, including routine software and hardware monitoring and upgrades, and user access and usage management.
  • Creating and maintaining an online user resource that includes implementation and support documentation for Information Technology Resources and Tools (IRT), such as Technical Design Documents (TDDs), support procedures, and knowledge articles.

Minimum Requirements:
  • Master's degree in a related discipline or Bachelor's degree and 2 years equivalent work experience.
  • At least one year of experience with system administration of Linux-based HPC systems.
  • The ability to balance long-term projects and strategic initiatives with short-term emergent requests.
  • Excellent troubleshooting skills.
  • Commitment to customer service.
  • Demonstrated ability to set goals and achieve them.
  • Excellent verbal and written communication skills.
  • Ability to support a 24x7 environment.

Nice to have:
  • Experience supporting Research Environments and High Performance Computing.
  • Hands-on experience managing Linux and Windows desktops.
  • Experience working with networking, including subnets, VLANs, IP addressing.
  • Experience working in a production data center environment.

What we offer:
  • In compliance with The State of New Jersey's Pay Transparency Act, the annual base salary range for this position is AFT: Range 27 ($85,550 to $98,388), with placement within the range determined by candidate's qualifications, professional experience, internal equity, and other factors. For internal applicants, salary is determined per the Pay Adjustment formula (NJAC 4A:3-4.9 & 4.10).
  • Excellent retirement benefits with 8% employer contribution.
  • 22 days of vacation time allotted annually with the ability to carry over a full year of accrued time.
  • 15 days of sick time allotted annually with unlimited carry over.
  • Excellent Medical and Dental coverage - low contribution, low copay.
  • Tuition benefits available to you, eligible dependents, spouse, and domestic or civil union partners.
  • Wellness incentives and other programs to help support your work-life balance.
  • Housing incentive for Glassboro residents.
  • For more detailed information, please visit: https://sites.rowan.edu/hr/benefits/

Notes:
  • Rowan University is an Equal Opportunity Employer and values diverse people and abilities. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this position.
  • Candidates must be legally authorized to work in the US, and the university will not sponsor an applicant for a work visa for this position.
  • Only completed online applications submitted will be considered. Review of applications will continue until the position is filled.

#Dice
Advertised: Mar 13 2026 Eastern Daylight Time
Applications close:
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