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Internship High Performance Computing Engineer Jobs in Pittsburgh, PA

... centers, high-performance computing, and power electronics. Incubated through NSF and ARPA-E ... Position Overview NovoLINC is seeking a highly motivated and hands-on Metallurgical Engineer to ...

Data Center Technician

Pittsburgh, PA ยท On-site

$30 - $36/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

Senior R&D Engineer

Canonsburg, PA ยท On-site

$96K - $131K/yr

May be responsible for managing interns or co-ops but typically does not have direct reports ... high performance computing methods including distributed memory and shared memory parallel ...

Sr. Storage Software Developer

Pittsburgh, PA ยท On-site

$53 - $70/hr

... high-performance computing market. We are seeking a highly experienced Senior Storage Software ... Exhibit a high level of proficiency in C/C++ programming, ensuring the delivery of high-quality ...

Sr. Storage Software Developer

Pittsburgh, PA ยท On-site +1

$53 - $70/hr

... high-performance computing market. We are seeking a highly experienced Senior Storage Software ... Exhibit a high level of proficiency in C/C++ programming, ensuring the delivery of high-quality ...

Sr. Storage Software Developer

Pittsburgh, PA ยท On-site +1

$53 - $70/hr

... high-performance computing market. We are seeking a highly experienced Senior Storage Software ... Exhibit a high level of proficiency in C/C++ programming, ensuring the delivery of high-quality ...

Senior Enterprise Systems Engineer

Pittsburgh, PA ยท On-site

$101K - $138K/yr

Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto ... High-Performance Computing (HPC) experience with Cisco UCS, etc What we offer you: * Competitive ...

Cloudera Solution Architect

Pittsburgh, PA

$61.25 - $80.50/hr

Understanding of High performance computing and cloud scalability and understanding of cloud provisioning/broker platforms (ServiceMesh Agility, Rightscale, etc.) Demonstrated experience and ability ...

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Internship High Performance Computing Engineer information

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

As of Jul 30, 2026, the average hourly pay for internship high performance computing engineer in Pittsburgh, PA is $58.35, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $66.06 per hour, depending on experience, location, and employer.

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

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.
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Infographic showing various Internship High Performance Computing Engineer job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 20% Internship, 40% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $121,370 per year, or $58.4 per hour.

Metallurgical Engineer

NovoLINC Inc

Pittsburgh, PA โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

Description:

About NovoLINC

NovoLINC is a Carnegie Mellon University (CMU) spinoff, redefining thermal management for AI data centers, high-performance computing, and power electronics. Incubated through NSF and ARPA-E programs and backed by venture capital, NovoLINC is commercializing advanced nanostructured thermal interface materials designed to deliver industry-leading thermal performance and reliability.


Position Overview

NovoLINC is seeking a highly motivated and hands-on Metallurgical Engineer to join our growing R&D team onsite in Pittsburgh, Pennsylvania. Reporting to the Head of R&D Department, this role will focus on the development of advanced metal alloys and next-generation thermal interface materials for AI and high-performance computing applications.


Key Responsibilities

  • Design, synthesize, and optimize advanced metal alloy systems with targeted melting points and thermal properties.
  • Develop next-generation thermal interface materials and improve existing product platforms.
  • Perform alloy formulation, materials characterization, and failure analysis.
  • Evaluate thermodynamic behavior, phase transitions, oxidation mechanisms, and long-term material stability.
  • Coordinate with thermal and process engineers to validate performance and support manufacturing scale-up.
  • Work on interfacial engineering and develop application SOPs to facilitate robust and repeatable material performance in real applications.
  • Support qualification activities including reliability testing and thermal cycling.
  • Maintain laboratory safety standards and EHS compliance.
  • Prepare technical reports, presentations, and intellectual property documentation.


Qualifications

  • PhD in Metallurgy, Materials Science, Physics, Mechanical Engineering, or a related field.
  • Strong expertise in low-melting-point alloys, liquid metals, and thermal materials.
  • Deep understanding of thermodynamics, alloying mechanisms, and phase behavior.
  • Minimum 3 years of experience in advanced materials R&D or product development.
  • Hands-on laboratory experience with alloy synthesis and materials testing.
  • Excellent technical communication and cross-functional collaboration skills.
  • Ability to work full-time onsite in Pittsburgh, Pennsylvania.
  • Preferred Experience
  • Experience with thermal interface materials (TIMs) or semiconductor packaging materials.
  • Knowledge of material testing & characterization for compositions, impurities, etc.
  • Knowledge of reliability testing methods for electronics cooling applications.
  • Experience in startup or fast-paced technology commercialization environments.


Why Join NovoLINC

This is a unique opportunity to help commercialize breakthrough thermal materials technologies that will power the next generation of AI infrastructure and high-performance computing.


Requirements: