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Internship High Performance Computing Engineer Jobs in Shelton, CT

QBTS) , D-Wave is a leader in the development and delivery of quantum computing systems, software ... and performance issues About You * Bachelor's degree in Mechanical Engineering, or equivalent ...

DevOps Engineer II

New Haven, CT · On-site

$53 - $72.75/hr

Learn more about realizing the value of quantum computing today and how D-Wave is shaping the ... basic performance troubleshooting, connectivity, and operational considerations * Scripting ...

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Internship High Performance Computing Engineer information

See Shelton, CT salary details

$11

$60

$98

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

As of Jul 30, 2026, the average hourly pay for internship high performance computing engineer in Shelton, CT is $60.29, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.22 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 Shelton, CT look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Shelton, CT are:
What cities near Shelton, CT are hiring for Internship High Performance Computing Engineer jobs? Cities near Shelton, CT with the most Internship High Performance Computing Engineer job openings:
Infographic showing various Internship High Performance Computing Engineer job openings in Shelton, CT as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,401 per year, or $60.3 per hour.

High Performance Compute Administrator

Kforce Technology Staffing

Shelton, CT • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

RESPONSIBILITIES:
Kforce is immediately seeking an experienced High Performance Compute Administrator in support of our enterprise storage and compute customer based in Shelton, CT.
Responsibilities:
* On-site technical support for the HPC environment (SGI 8600 compute systems and supporting infrastructure)
* Administration and operational support for HPCM cluster management
* Support for the DMF storage environment, including coordinating upgrades and system health monitoring, working with DMF team.
* CDU cooling system maintenance and troubleshooting
* Hardware diagnostics and coordination with the site admin to maintain system stability
* Supporting the site admin
* Facilitation of weekly operational meetings (Monday's 12PM) and project coordination- PM role
REQUIREMENTS:
* Bachelor's degree in Computer Science, Information Technology, Engineering, or related field; equivalent experience considered
* 5+ years of experience supporting enterprise High-Performance Computing (HPC) environments
* Hands-on experience with Cray EX, SGI 8600, or similar large-scale platforms
* Experience administering and supporting Performance Cluster Manage and Linux-based environments (RHEL/SLES)
* Knowledge of Data Management Framework (DMF), storage lifecycle management, system monitoring, and operational support
* Experience supporting storage, compute, and networking infrastructure, including Lustre, InfiniBand, and management systems
* Ability to perform hardware diagnostics, troubleshooting, root cause analysis, and coordinate repairs with vendors and data center personnel
* Experience maintaining and troubleshooting Coolant Distribution Units (CDUs) and related cooling infrastructure
* Knowledge of system administration, firmware management, health monitoring, and upgrade coordination
* Experience supporting site administrators and collaborating with cross-functional infrastructure, storage, and networking teams
* Strong project coordination skills, including meeting facilitation, action item tracking, status reporting, risk management, and stakeholder communication
* Ability to lead recurring operational meetings and coordinate technical activities across multiple teams
* Strong verbal and written communication skills with the ability to interact effectively with technical and non-technical stakeholders
Preferred:
* HPE, Linux, or HPC-related certifications
* Experience with Cray EX Supercomputing environments
* Experience with automation and scripting using Python, Bash, or Ansible
* Familiarity with Slurm workload management
* Experience supporting government, research, scientific, or mission-critical computing environments
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.