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Internship Hpc Engineer Jobs (NOW HIRING)

VDURA

Software Engineer - Entry Level

Niwot, CO · On-site

... for AI and HPC environments. We are seeking an entry-level Software Engineer to join our ... Internship, academic project, or open-source experience related to systems software or distributed ...

VDURA

Software Engineer - Entry Level

Niwot, CO · On-site

... for AI and HPC environments. We are seeking an entry-level Software Engineer to join our ... Internship, academic project, or open-source experience related to systems software or distributed ...

VDURA

Software Engineer - Entry Level

Longmont, CO · On-site

... for AI and HPC environments. We are seeking an entry-level Software Engineer to join our ... Internship, academic project, or open-source experience related to systems software or distributed ...

Inversion

Simulation Engineer I, Arc Vehicle

Vista, CA · On-site

$71K - $124K/yr

Typically 1+ years of internship, academic research, or professional experience developing software ... or HPC infrastructure. * Familiarity with hardware-in-the-loop (HIL) testing, processors-in-the ...

Etched

Infrastructure Intern

San Jose, CA · On-site

This includes working on our hybrid-cloud high-performance compute (HPC) clusters, massively ... engineers love using. We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns.

Etched

Infrastructure Intern

San Jose, CA · On-site

This includes working on our hybrid-cloud high-performance compute (HPC) clusters, massively ... engineers love using. We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns.

LRS

Software Engineer, Intern

Waukesha, WI

$23.50/hr

This internship is designed for students who want handson experience building reliable, performant ... Explore and evaluate emerging HPC technologies to optimize MR performance. Collaborate with ...

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How much do internship hpc engineer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for internship hpc engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are Internship HPC Engineers?

Internship HPC (High Performance Computing) Engineers are students or recent graduates who assist in designing, optimizing, and maintaining advanced computing systems used for complex tasks such as scientific simulations, data analysis, and machine learning. These interns often work with supercomputers, clusters, and parallel processing software to support research and engineering applications. Their responsibilities may include coding, troubleshooting hardware or software, and collaborating with more experienced HPC engineers. An HPC internship provides hands-on experience in a rapidly growing technology field and can lead to full-time roles in research, academia, or industry.

What is the difference between Internship Hpc Engineer vs Hpc Engineer?

AspectInternship Hpc EngineerHpc Engineer
CredentialsTypically pursuing or recently completed relevant degreeBachelor's or Master's in Computer Science, Engineering, or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time professional setting, independent project management
Industry UsageTraining and skill development in high-performance computingDesign, optimize, and maintain HPC systems in industry or research

The main difference is that an Internship Hpc Engineer is a trainee or entry-level position focused on learning and gaining experience, while an Hpc Engineer is a full-time professional responsible for managing HPC systems. Internships serve as a stepping stone toward a full career as an Hpc Engineer, with the latter requiring more experience and expertise.

What types of projects and technologies will I typically work with as an HPC Engineer intern?

As an HPC Engineer intern, you can expect to work on projects involving the setup, maintenance, and optimization of high-performance computing clusters. Daily tasks may include configuring networking, managing job schedulers, optimizing code for parallel processing, and troubleshooting hardware or software issues. You'll often collaborate with researchers, software developers, and IT staff to ensure systems run efficiently and meet user needs. This internship provides hands-on experience with technologies like Linux, MPI, Slurm, and various compilers, offering valuable exposure to both hardware and software aspects of supercomputing environments.

What are the key skills and qualifications needed to thrive as an Internship HPC Engineer, and why are they important?

To thrive as an Internship HPC Engineer, you typically need a background in computer science, engineering, or a related field, with strong programming skills in languages like C, C++, or Python. Familiarity with Linux environments, parallel computing frameworks (such as MPI or OpenMP), and common HPC job schedulers is highly beneficial. Strong problem-solving abilities, teamwork, and effective communication help interns excel in collaborative, research-driven environments. These skills and qualities are crucial for contributing to complex computational projects and ensuring efficient use of high-performance computing resources.
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Internship Hpc Engineer jobs near you
Infographic showing various Internship Hpc Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Software Engineer - Entry Level

VDURA

Niwot, CO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Description
Position Overview:
VDURA is a leader in high-performance parallel file systems and distributed storage solutions for AI and HPC environments. We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform.
This role is ideal for a recent graduate or early-career engineer who is passionate about systems software, distributed computing, AI infrastructure, and large-scale storage technologies. The successful candidate will work alongside experienced architects and senior engineers while contributing to real-world enterprise storage solutions used in demanding AI and HPC deployments.
The Software Engineer will gain hands-on experience with distributed systems development, performance optimization, automated testing, cloud technologies, and modern AI-assisted software development practices.
Key Responsibilities:
Software Development
  • Develop, test, debug, and maintain software components within the VDURA Data Platform.
  • Contribute to distributed storage services, management tools, datapath functionality, and automation infrastructure.
  • Write clean, maintainable, and well-tested code primarily in C, C++, Python, or related technologies.
  • Engineering Collaboration
  • Work closely with senior engineers, architects, QA, DevOps, and support teams on feature development and issue resolution.
  • Participate in code reviews, technical discussions, and team planning activities.
  • Learn and apply best practices for scalable software development and systems engineering.
  • Testing and Debugging
  • Assist with debugging complex software issues across distributed systems environments.
  • Contribute to automated test frameworks and continuous integration workflows.
  • Support system validation, performance testing, and reliability improvements.
  • Performance and Scalability
  • Help analyze system performance and identify opportunities for optimization.
  • Learn about modern storage and networking technologies including NVMe, RDMA, InfiniBand, and parallel file systems.
  • Participate in lab testing and large-scale system validation activities.
  • Innovation and Learning
  • Utilize AI-based software development tools to improve productivity, learning, debugging, and software quality.
  • Stay current with emerging technologies in AI infrastructure, cloud-native systems, distributed storage, and software engineering.
  • Continuously expand technical knowledge through mentorship and hands-on development experience.

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
  • Strong programming skills in C, C++, Python, Java, or similar languages.
  • Understanding of operating systems, data structures, algorithms, and networking fundamentals.
  • Familiarity with Linux or UNIX-based development environments.
  • Strong analytical and problem-solving skills.
  • Experience with Git or other version control systems.
  • Interest in distributed systems, storage software, cloud computing, AI infrastructure, or systems-level programming.
  • Experience using AI-based software development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar technologies is desirable.
  • Strong communication skills and willingness to work collaboratively within a team environment.

Preferred Experience:
  • Internship, academic project, or open-source experience related to systems software or distributed systems.
  • Exposure to Linux system administration or scripting.
  • Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.
  • Experience with automated testing or CI/CD workflows.
  • Interest in HPC, AI infrastructure, or large-scale storage systems.

Location:
This role is based in: Niwot, CO
This is primarily an on-site role to support close collaboration with engineering teams and access to VDURA lab environments.
About VDURA:
VDURA is transforming data storage and management for the AI era. Our software-defined storage platform delivers the performance, scalability, durability, and simplicity required for the world's most demanding AI and HPC environments. Our engineering teams work on cutting-edge distributed systems challenges spanning parallel file systems, AI infrastructure, cloud technologies, and next-generation storage architectures.

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