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Internship High Performance Computing Engineer Jobs in Minneapolis, MN

nVent

Sr Manager, Manufacturing Engineering

Anoka, MN · On-site

$123K - $229K/yr

... 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 ...

nVent

Sr Manager, Manufacturing Engineering

Anoka, MN · On-site

... 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 ...

nVent

Sr Manager, Manufacturing Engineering

Anoka, MN · On-site

... 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 ...

nVent

Sr Manager, Manufacturing Engineering

Anoka, MN

$229K/yr

... 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 ...

Geronimo Power, LLC

Performance Engineer

Minneapolis, MN · On-site

$95K - $105K/yr

Position Performance Engineer Location Geronimo Power HQ (Bloomington, MN) About Us Geronimo Power ... high-performing workplace where employees feel valued, supported, and energized to do their best ...

NextSilicon

HPC Systems Administrator

Minneapolis, MN · Remote

NextSilicon is revolutionizing high-performance computing. Our innovative coprocessor technology ... Bachelor's degree in engineering, mathematics, computer science, related field, or equivalent ...

NextSilicon

HPC Systems Administrator

Minneapolis, MN · On-site +1

Description NextSilicon is revolutionizing high-performance computing. Our innovative coprocessor ... Bachelor's degree in engineering, mathematics, computer science, related field, or equivalent ...

S R INTERNATIONAL INC

Azure Database Engineer

Saint Paul, MN · On-site

$115K - $138K/yr

Implement secure, scalable, and high-performance cloud database solutions. * Configure backup ... Computing, Disaster Recovery, Backup & Recovery, RBAC, Azure Security, Data Security, Query ...

Varsity Tutors

C++ Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Edina, MN · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Minneapolis, MN

Internship High Performance Computing Engineer information

See Minneapolis, MN salary details

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

As of Aug 10, 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 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.
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:
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Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 60% Internship, 30% Full Time, and 10% Temporary. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $130,494 per year, or $62.7 per hour.

Staff HPC Applications Engineer

NextSilicon

Minneapolis, MN • On-site, Remote

Full-time

Posted 25 days ago

Job description

Description
NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.
At NextSilicon, everything we do is guided by three core values:
  • Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

We are looking for an experienced Staff Applications Engineer to join the Applications team, with demonstrated ability in moving HPC applications onto new platforms and in evaluating performance on node and at scale.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices (or willing to relocate) preferred but Remote considered for exceptional candidates.
As part of a software-defined hardware company, you will play a pivotal role in driving new software features based on your analysis of customer-defined applications and measuring the resulting performance improvements. This role stands on the edge of computer science/architecture and scientific applications which span a wide range of fields, including but not limited to graph algorithms, sparse computations, weather prediction, seismic imaging, genomics, molecular dynamics, quantum chemistry, and computational fluid dynamics. If you have a passion for science, a knack for solving complex problems, and thrive in a bleeding-edge multidisciplinary environment, we want to hear from you!
Requirements
  • US citizenship and eligibility to visit US government research facilities
  • B.S. degree in a hard science, engineering, computer science, or a related field; M.S. or Ph.D. strongly preferred

  • Hands-on experience with development applications in one or more HPC domains, particularly scientific applications that run at rack or system scale
  • High level of proficiency in one of C/C++/Fortran and familiarity with the others
  • Extensive experience with node level and distributed parallel programming models and a working understanding of OpenMP, MPI in particular
  • Ability to measure application-level performance and profile HPC applications at the node level and at scale
  • Willingness to travel as necessary
  • Ability to work remotely and independently in a fast-paced environment with minimal direct supervision

Desired Skills:
  • Expertise in competitive performance analysis is strongly preferred
  • CUDA or similar GPU kernel languages
  • Hands-on experience with one or more AI/ML frameworks, such as pytorch

Responsibilities
  • Profile and identify bottlenecks of a wide range of HPC applications on different architectures
  • Develop creative algorithmic and software solutions to solve bottlenecks and accelerate applications on a novel dataflow architecture
  • Translate application requirements into software features and hardware requirements
  • Develop performance models for future hardware architectures

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