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Internship Hpc Engineer Jobs (NOW HIRING)

Smule

Internship - Research Engineer

Salt Lake City, UT · On-site

$85 - $120/hr

If your path into research engineering came through audio software development, game engine programming, embedded systems, HPC, or another field, we want to hear from you. What You'll Be Doing:

The Pennsylvania State University

... engineering services ... Develop HPC / cloud security principals, protocols, and practices from secure supply chain to

Ddn

Advisory Sales Engineer - Strategic AI

Berlin, NH · On-site

$110 - $150/hr

Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated ... Exposure to storage/systems through coursework, internships, or projects * Strong analytical and ...

DDN

Senior Sales Engineer - US Federal

Washington, DC · On-site

$120 - $180/hr

Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated ... Exposure to storage/systems through coursework, internships, or projects * Strong analytical and ...

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How much do internship hpc engineer jobs pay per hour?

As of Aug 22, 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 is an internship HPC engineer?

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 types of projects and technologies will I typically work with as an internship HPC engineer?

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.

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.

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Internship Hpc Engineer jobs near you
Infographic showing various Internship Hpc Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Internship - Research Engineer

Smule

Salt Lake City, UT • On-site

$85 - $120/hr

Other

Re-posted 20 days ago

Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.

About the Role

We are hiring a Research Engineer to accelerate Smule's research teams by building the infrastructure, tooling, and experimental frameworks that make rigorous research possible at scale. You will work side‑by‑side with research scientists, turning experimental ideas into robust, reproducible code and helping bridge the gap between prototype and production. The ideal candidate is a skilled software engineer with genuine curiosity about ML research, deep systems knowledge, and a talent for making researchers more productive.

We strongly encourage candidates with non‑traditional backgrounds to apply. If your path into research engineering came through audio software development, game engine programming, embedded systems, HPC, or another field, we want to hear from you.

What You’ll Be Doing:
  • Design, implement, and maintain research infrastructure including experiment tracking, distributed training pipelines, and evaluation frameworks.
  • Collaborate with research scientists to implement, debug, and optimize novel model architectures, training procedures, and data pipelines.
  • Build tooling and abstractions that accelerate the experiment‑iterate‑publish cycle for the research team.
  • Ensure reproducibility of research results through rigorous version control of code, data, configurations, and compute environments.
  • Profile and optimize training and inference performance across GPU clusters, identifying and resolving bottlenecks.
  • Contribute to open‑source projects and internal libraries that codify best practices and reusable components.
What We’re Looking For:
  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong proficiency in Python and experience with PyTorch, including custom modules, training loops, and distributed training (DDP, FSDP).
  • Solid understanding of software engineering best practices: testing, CI/CD, code review, and documentation.
  • Familiarity with Linux, GPU computing, and cloud or on‑prem HPC environments.
  • Ability to read and implement methods from ML research papers.
Bonus Points For:
  • Experience with audio, speech, or music signal processing pipelines.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes, Slurm).
  • Contributions to open‑source ML frameworks or research codebases.

Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.

We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.

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