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Internship High Performance Computing Engineer Jobs in Medfield, MA

Pfizer

Staff Engineer, Sr. Manager

Cambridge, MA · Hybrid

$124K - $207K/yr

Translate stakeholder input into robust, high-performance, scalable, cost effective computing platforms. * Partner with HPC specialists (engineers, administrators, and users) to capture institutional ...

HPR

FPGA Engineering Intern - Summer 2027

Needham, MA

$42/hr

Build on your strong academic background as you help us advance our high-performance computing and ... Internship or academic experience writing Verilog/SystemVerilog or VHDL * Familiarity working in a ...

HPR

Senior Software Engineer

Needham, MA · On-site

$133K - $175K/yr

Responsibilities : • Utilize your expertise in low-level programming as we advance the state of the art in high performance computing and electronic trading • Provide the necessary guidance and ...

Watershed Informatics

Infrastructure Engineer

Cambridge, MA

$117K - $154K/yr

Role Infrastructure Engineers at Watershed engineer infrastructure to meet the high-performance computing needs of modern biology. Designing systems that keep pace with the explosive growth in the ...

Watershed Informatics

Infrastructure Engineer

Cambridge, MA · On-site

$117K - $154K/yr

Role Infrastructure Engineers at Watershed engineer infrastructure to meet the high-performance computing needs of modern biology. Designing systems that keep pace with the explosive growth in the ...

Watershed Informatics

Site Reliability Engineer

Cambridge, MA · On-site

$62.25 - $82.75/hr

Role Linux Systems Engineers at Watershed engineer infrastructure to meet the high-performance computing needs of modern biology. Designing systems that keep pace with the explosive growth in the ...

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Internship High Performance Computing Engineer information

See Medfield, MA salary details

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

As of Aug 13, 2026, the average hourly pay for internship high performance computing engineer in Medfield, MA is $62.03, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $70.19 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 cities near Medfield, MA are hiring for Internship High Performance Computing Engineer jobs?

Cities near Medfield, MA with the most Internship High Performance Computing Engineer job openings:

Internship High Performance Computing Engineer jobs near you

Research Fall 2026 Internship/Co-op -Early Anomaly Detection & Intervention

FM Corporation

Norwood, MA • On-site

Other

Posted 10 days ago

Job description

FM is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.

Data centers are experiencing unprecedented demands in power density driven by AI and high-performance computing workloads. In contrast to the modern development, traditional fire detection systems are designed to detect fires only after combustion has already occurred, creating a need for earlier anomaly detection methods capable of identifying precursors to thermal runaway, electrical faults, overheating, insulation degradation, arc events, and other incipient fire conditions.

This internship will investigate and evaluate advanced approaches for early anomaly detection and intervention in data center environments. The selected intern will conduct experimental and modeling research to characterize pre-fire signatures and assess potential intervention strategies before ignition or fire development.

Key Responsibilities

  • Conduct literature reviews, including internal reports and external publications.
  • Execute experimental test programs and collect high-quality data. The focus will be designing and building laboratory-scale experimental apparatus to simulate data center equipment faults and pre-fire conditions.
  • Develop models, correlations, and analytical techniques to interpret experimental results.
  • Document findings through technical reports, presentations, and research publications.

Qualifications

Location: Norwood, MA
Duration: 3–6 months starting from September 2026
Education Level: Ph.D. student in Fire Protection Engineering, Mechanical Engineering, Chemical Engineering, or related fields.

Required

  • Strong experimental and analytical skills.
  • Ability to independently design experiments and troubleshoot laboratory setups.
  • Experience with data analysis using Python, MATLAB, R, or similar tools.
  • Strong technical writing and communication skills.

Preferred

  • Experience in building experimental apparatus and integrating sensors with data acquisition systems.
  • Experience with statistical modeling, predictive analytics, or physics-based modeling.

This is an in-office role based in Norwood, MA.  Temporary relocation support provided for selected qualified candidate.

FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

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About FM

Sourced by ZipRecruiter

Industry

Plastics product manufacturing

Company size

51 - 200 Employees

Headquarters location

Rogers, AR, US

Year founded

1980

Social media

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