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Internship Supercomputer Jobs (NOW HIRING)

... internship is an intensive 10-week experience with our technology team that designs, codes, tests, and maintains our distributed trading system and one of the world's largest supercomputers. You will ...

... internship is an intensive 10-week experience with our technology team that designs, codes, tests, and maintains our distributed trading system and one of the world's largest supercomputers. You will ...

Our preference is for this internship to be based out of our Burlingame, California office ... first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower ...

... internship is an intensive 10-week experience with our technology team that designs, codes, tests, and maintains our distributed trading system and one of the world's largest supercomputers. You will ...

... internship is an intensive 10-week experience with our technology team that designs, codes, tests, and maintains our distributed trading system and one of the world's largest supercomputers. You will ...

$250K/yr

... internship is an intensive 10-week experience with our technology team that designs, codes, tests, and maintains our distributed trading system and one of the world's largest supercomputers. You will ...

Our preference is for this internship to be based out of our Burlingame, California office ... first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower ...

Our preference is for this internship to be based out of our Burlingame, California office ... first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower ...

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Internship Supercomputer information

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$8

$15

$21

How much do internship supercomputer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for internship supercomputer in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an internship in supercomputing?

An internship in supercomputing is a temporary position that allows students or early-career professionals to gain hands-on experience working with high-performance computing (HPC) systems, often referred to as supercomputers. Interns typically assist with research projects, software development, data analysis, or system administration in environments where advanced computational resources are used. These internships provide valuable exposure to cutting-edge technology and can help participants build skills relevant to careers in scientific computing, engineering, or data science.

What are the key skills and qualifications needed to thrive as a supercomputer intern?

To thrive as a Supercomputer Intern, you generally need a background in computer science, mathematics, or engineering, with strong programming skills in languages such as Python, C++, or Fortran. Familiarity with high-performance computing (HPC) environments, parallel computing frameworks (e.g., MPI, OpenMP), and Linux operating systems is typically required. Analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and adapt in research-driven teams. These competencies are crucial for contributing to complex computational projects and maximizing the potential of supercomputing resources.

What are some common projects or tasks that a supercomputer intern might be assigned?

As a supercomputing intern, you may be involved in a range of tasks such as benchmarking system performance, optimizing code for parallel computing, assisting with software installations, or supporting research teams running large-scale simulations. Interns often collaborate closely with system administrators, researchers, and software engineers to troubleshoot issues and improve workflow efficiency. This hands-on experience is invaluable for building technical skills and understanding the collaborative nature of high-performance computing environments.

What is the difference between Internship Supercomputer vs Supercomputer Engineer?

AspectInternship SupercomputerSupercomputer Engineer
Required CredentialsTypically pursuing or recent graduate in Computer Science or related fieldBachelor's or Master's in Computer Engineering, Computer Science, or related
Work EnvironmentInternship programs, entry-level tasks, supervised settingsDesigning, developing, and maintaining supercomputing systems in research or industry
Employer & Industry UsageResearch labs, universities, tech companies offering internship programsHigh-performance computing centers, research institutions, tech firms

In summary, an Internship Supercomputer role is an entry-level position aimed at gaining experience in supercomputing, while a Supercomputer Engineer is a professional responsible for designing and maintaining supercomputing systems, requiring more advanced credentials and experience.

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What cities are hiring for Internship Supercomputer jobs?

Cities with the most Internship Supercomputer job openings:

What are the most commonly searched types of Supercomputer jobs?

The most popular types of Supercomputer jobs are:

What states have the most Internship Supercomputer jobs?

States with the most job openings for Internship Supercomputer jobs include:

Infographic showing various Internship Supercomputer job openings in the United States as of September 2026, with employment types broken down into 14% Internship, 1% As Needed, 68% Full Time, 16% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Senior Middleware Software Development Engineer

Austin, TX

Intel
Manufacturing • 10K+ employees

$121K - $160K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago


Key responsibilities

  • Design, develop, and maintain advanced features and performance optimizations for oneCCL.

  • Optimize software to achieve performance requirements including low latency, high bandwidth, and high reliability.

  • Develop performance optimizations that improve communication latency and throughput.


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz


Job description

Job Details:Job Description: 

Join our Communication Runtimes team as a Senior Cloud Software Development Engineer to develop cutting-edge software features and optimizations for Intel's oneCCL (Collective Communications Library).
This role offers the opportunity to build expertise with the latest Intel GPUs and CPUs used in data centers, collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs, and make meaningful contributions that advance scientific computing and machine learning capabilities.
Key Responsibilities

  • Communication Library Development
  • Design, develop, and maintain advanced features and performance optimizations for oneCCL.
  • Optimize software to achieve performance requirements including low latency, high bandwidth, and high reliability
  • Implement and enhance communication protocols across multiple layers of the communications stack

Cross-Functional Collaboration and Requirements

  • Collaborate with cross-functional teams to define software requirements and technical specifications
  • Work directly with scientists and engineers on high-performance computing applications and supercomputer implementations
  • Partner with hardware teams to optimize software-hardware integration for maximum performance

Performance Optimization and Analysis

  • Develop performance optimizations that improve communication latency and throughput
  • Conduct comprehensive performance analysis and benchmarking across different system configurations
  • Debug complex problems spanning multiple layers of hardware and software stack

What You'll Work On

  • Aurora Supercomputer: Direct collaboration with Argonne National Labs on one of the world's most advanced supercomputers
  • Cutting-Edge Hardware: Latest Intel GPUs and CPUs designed for data center and HPC applications
  • Impact: Meaningful contributions to scientific computing breakthroughs and machine learning advancement
  • Innovation: Development of next-generation communication libraries and optimization techniques

Core Competencies

  • Self-driven with high motivation to learn emerging technologies
  • Outstanding analytical and problem-solving skills
  • Excellent communication skills for technical collaboration
  • Understanding of multiple levels of communications stack architecture
Qualifications:

The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

  • Master's degree in Computer Science, Computer Engineering or in a STEM related field of Study
  • 3+ years of software development experience
  • 3+ years of Linux environment development experience
  • 3+ years of C and C++ programming experience
  • Experience with multithreaded programming and parallel computing concepts
  • Specialized Experience (At least one required)
    • Distributed computing systems and architectures
    • HPC (High-Performance Computing) communications libraries
    • Collective communications libraries (MPI, oneCCL/NCCL, or SHMEM)
    • GPU software development and optimization
    • Network communications stack development (one or more layers)

Preferred Qualifications

  • Ph.D. degree in Computer Science, Computer Engineering or in a STEM related field of Study
  • Experience developing performance optimizations that measurably improve communications latency or throughput
  • Experience debugging complex problems across different layers of hardware and software stack
  • Deep understanding of high-performance computing architectures and optimization techniques
  • Experience with Intel GPU and CPU architectures and their optimization characteristics
  • Knowledge of supercomputing environments and large-scale distributed systems
  • Familiarity with scientific computing and machine learning communication patterns
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, Texas, AustinPosting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $128,880.00-245,160.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968