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Internship High Performance Computing Engineer Jobs in Minneapolis, MN

Senior AI/Machine Learning Specialist

Maplewood, MN · On-site

$89K - $109K/yr

The Impact You'll Make in this Role As a Senior AI Software Developer, you will join an internal ... high-performance computing applications, or algorithm-intensive technology. AND * Ten (10) years of ...

The Impact You'll Make in this Role As a Senior AI Software Developer, you will join an internal ... high-performance computing applications, or algorithm-intensive technology. AND * Ten (10) years of ...

NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage ... We are looking for an experienced Applications Engineer to join the Applications team, with ...

Description NextSilicon is reimagining high-performance computing. Our accelerated compute ... We are looking for an experienced Applications Engineer to join the Applications team, with ...

... high-performance computing infrastructure. We are seeking a Sr Manager, Manufacturing Engineering to lead a multi-layer engineering organization supporting our growing liquid cooling portfolio ...

... high-performance computing infrastructure. We are seeking a Sr Manager, Manufacturing Engineering to lead a multi-layer engineering organization supporting our growing liquid cooling portfolio ...

... high-performance computing infrastructure. We are seeking a Sr Manager, Manufacturing Engineering to lead a multi-layer engineering organization supporting our growing liquid cooling portfolio ...

... high-performance computing infrastructure. We are seeking a Sr Manager, Manufacturing Engineering to lead a multi-layer engineering organization supporting our growing liquid cooling portfolio ...

Showing results 21-40

Internship High Performance Computing Engineer information

See Minneapolis, MN salary details

$11

$62

$102

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

As of Sep 12, 2026, the average hourly pay for internship high performance computing engineer in Minneapolis, MN is $62.74, according to ZipRecruiter salary data. Most workers in this role earn between $51.44 and $71.01 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 popular job titles related to Internship High Performance Computing Engineer jobs in Minneapolis, MN?

For Internship High Performance Computing Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Internship High Performance Computing Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Minneapolis, MN are:

Infographic showing various Internship High Performance Computing Engineer job openings in Minneapolis, MN as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $130,494 per year, or $62.7 per hour.

Senior System Engineer/Architect

Saint Paul, MN • On-site

Contractor

Re-posted 3 days ago


Job description

Company Description

IT Solutions provider for services like Data Warehousing, Business Process Management, Quality Assurance and more. Get in touch with us today and take your business to new heights today.

Job Description

Role: Senior System Engineer/Architect
Location: St Paul, MN
Duration: 6+ Month Contract

System Architecture, System Engineering, Testing, Threat Systems, Hardware Development/Design, High Performance Computing, ISR & Tactical Systems, Radar, RF, Sensors 
Integration, Antenna, Autonomous Systems, Countermeasures, Electromagnetics, Electronic Warfare, Embedded Systems
The Sensor & Systems Engineering Division (SSED) of the Sensors & Electromagnetic Applications Lab (SEAL) of the Georgia Tech Research Insititute (GTRI) is looking for experienced 
Systems Engineers having specific expertise in Radar & Electronic Warfare (E.W.) Hardware.SSED projects focus on developing hardware for a wide range of Department of Defense applications.
Hardware development includes designing and building custom hardware, modifying existing hardware, implementing solutions using general-purpose hardware, and repurposing hardware.
Applications primarily include radar, electronic warfare, and embedded signal processing but often span into communication systems, surveillance systems, and other remote sensing applications.
Job Duties
System engineering support on radar and electronic warfare hardware development projects
Development of requirements based on customer needs
Analysis of requirements provided by the customer
Requirements tracing and traceability
Parts and components inventory management
Configuration management
Requirements verification
Test planning
Documentation
Travel Requirements

Additional Information

All your information will be kept confidential according to EEO guidelines.