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Internship High Performance Computing Engineer Jobs in Albany, NY

GlobalFoundries

Sr Lead Enterprise Architecture

NY · On-site

... high-performance computing (HPC) storage environments supporting semiconductor design and engineering workloads. This role is responsible for architecting resilient, secure, and high-performing ...

Jahnel Group

HPC Administrator

Schenectady, NY

Experience supporting High Performance Computing (HPC) infrastructure and clustered computing ... Experience supporting engineering and simulation applications in a research or engineering ...

Jahnel Group

HPC Administrator

Schenectady, NY · On-site

Experience supporting High Performance Computing (HPC) infrastructure and clustered computing ... Experience supporting engineering and simulation applications in a research or engineering ...

Globalfoundries

Quantum Ion Trap Integrator

Malta, NY

$98K - $176K/yr

Manage, mentor, and develop a team of integration engineers, fostering a high-performance ... Exposure to quantum computing hardware, ion trapping technologies, or cryogenic / vacuum systems

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Albany, NY

Internship High Performance Computing Engineer information

See Albany, NY salary details

$10

$59

$97

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

As of Aug 9, 2026, the average hourly pay for internship high performance computing engineer in Albany, NY is $59.68, according to ZipRecruiter salary data. Most workers in this role earn between $48.94 and $67.55 per hour, depending on experience, location, and employer.

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 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.
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Internship High Performance Computing Engineer jobs near you

High Performance Computing Technical Expert with Security Clearance

Fuse Engineering LLC

Saratoga Springs, NY • On-site

$166K/yr

Other

Re-posted 10 days ago

Job description

> 
High Performance Computing Technical Expert Fuse Engineering LLC High Performance Computing Technical Expert Saratoga Springs Description TECHNICAL EXPERT/FUNCTIONAL EXPERT for HPC  In addition to the above qualifications, TECHNICAL EXPERT/FUNCTIONAL EXPERT FOR HPC must have the qualifications required by the relevant TTO:  •Configuration, tuning, testing, and advanced level troubleshooting and support of high performance filesystems such as XFS, GPFS and Lustre  •Advanced level troubleshooting and support of HPC farm systems and associated applications such as Nagios, xcat, failover software, and compilers  Working knowledge of HPC MPP systems  •Configuration, tuning, testing, and advanced level troubleshooting and support of distributed computing tools such as RES, LSF and SLURM.  •Configuration, tuning, testing, and advanced level troubleshooting of RedHat and SuSe operating systems  •Accepted professional certifications:  * valid RHCSA or higher Red Hat certification 
* valid V M Ware certification  Requirements Active TS/SCI w/ Polygraph Clearance Required Shall have a Bachelor’s Degree in Computer Science or related field, and have at least eight (8) years in a large and complex IT environment providing industry and government recognized functional expertise. Or the individual shall have five (5) years of full lime computer science work that can substitute for the Bachelor's degree, and have at least eight years in a large and complex IT environment providing industry and government recognized functional expertise. A Master's Degree in Computer Science or related field may substitute for two (2) years experience. An industry recognized professional certification may substitute as one year experience.  Powered by Privacy Policy | Payroll & HR Software

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