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Internship High Performance Computing Engineer Jobs in Boston, MA

Amazon

System Development Engineer, Blink

Reading, MA · On-site

... and high-performance computing, as well as solve distributed systems problems. This position ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience ...

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Internship High Performance Computing Engineer information

See Boston, MA salary details

$12

$65

$106

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

As of Jul 13, 2026, the average hourly pay for internship high performance computing engineer in Boston, MA is $65.30, according to ZipRecruiter salary data. Most workers in this role earn between $53.56 and $73.89 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.
What are the most commonly searched types of High Performance Computing Engineer jobs in Boston, MA? The most popular types of High Performance Computing Engineer jobs in Boston, MA are:
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Internship High Performance Computing Engineer jobs near you
Semiconductor Process Engineer

Semiconductor Process Engineer

Quantum Computing Inc.

Bedford, MA • On-site

Full-time

Re-posted 17 hours ago

Job description

Semiconductor Process Engineer
Location: Wilmington, MA
About Us
Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.
Position Description
The successful applicant will be part of a team that produces world-class sensors based on photodetectors, diode lasers, and other wafer-based optoelectronic devices for various applications including optical communications, remote sensing (e.g., lidar and laser rangefinding), quantum sensing, high-performance imaging, and photonic integrated circuits. Working collaboratively with the rest of our in-house wafer fabrication team, the Semiconductor Process Engineer will oversee the development and production of state-of-the-art III-V avalanche photodetectors, laser diodes, and other optoelectronic devices. This individual will develop and optimize new device fabrication processes, guide process technicians to successfully complete these fabrication process, improve processing procedures, and identify processing issues. This engineer will also be responsible for the operation of all equipment used during fabrication processes that support both new product development and product manufacturing.
Duties and Responsibilities
  • Develop new fabrication processes and define new process flows.
  • Continuously improve existing fabrication processes and process flows.
  • Work with device designers to fabricate and optimize new photonic devices.
  • Develop thin film deposition procedures required for new device structures.
  • Develop thin film wet etching, RIE, and DRIE as required for device development.
  • Perform photolithography mask CAD design and layout.
  • Develop wafer diffusion processes for III-V semiconductors.
  • Implement, document, and maintain process run sheets and work instructions.
  • Analyze correlations between process attributes (e.g., metrology data, process conditions, process variation) and device performance (e.g., functional test results).
  • Track process variation and drive continuous improvement initiatives.
  • Review new device specifications and analyze requirements against existing capabilities to estimate costs and yields for new and existing products.
  • Support the fabrication facility in obtaining and maintaining industry-standard certifications.

Required Skills and Experience
  • MS or BS in Electrical Engineering, Materials Science or a related discipline
  • 4+ years of hands-on experience with compound semiconductor device fabrication
  • Significant experience with semiconductor process technology and understanding of semiconductor device physics.
  • Must be able to work independently with minimal supervision.
  • Strong organizational, analytical, and problem-solving skills.
  • Ability to perform critical clean room processing techniques.
  • Excellent dexterity for handling semiconductor wafers.
  • Comfortable and focused on safety while handling clean room chemicals.
  • Proficiency with DOE and SPC concepts.
  • Ability to document work and accurately update written procedures.
  • Excellent communications skills, both written and oral.

Preferred Qualifications
  • PhD in Electrical Engineering, Materials Science, or a related discipline
  • Strong working knowledge of semiconductor photodetectors, laser diodes, and optoelectronic device fabrication.
  • Experienced with electrical and electro-optical testing, semiconductor device metrology, and data analysis tools.
  • Comprehensive understanding of DOE and SPC concepts.

Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

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