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Internship High Performance Computing Engineer Jobs in Massachusetts

HPR

Senior Software Engineer

Needham, MA · On-site

$125K - $205K/yr

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 hands-on delivery of the ...

HPR

Senior Software Engineer

Needham, MA · Hybrid

$125K - $205K/yr

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 hands-on delivery of the ...

HPR

Software Engineer II

Needham, MA · Hybrid

$115K - $151K/yr

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 hands-on delivery of the ...

Intel

The Role and Impact Join Intel's Communication Runtimes team to shape the future of High-Performance Computing (HPC) and Artificial Intelligence (AI). As a Middleware Development Engineer, you will ...

Winaxis

Cloud Infrastructure/AI/ML Engineer

Boston, MA · On-site

$116K - $153K/yr

Cloud Infrastructure/AI/ML Engineer (Contract, 12+ months, Hybrid) - Location : Waltham, MA (Hybrid ... in HPC (High Performance Computing), AWS, DNAnexus, AWS Sagemaker AI - Experience with cloud ...

QCi

Semiconductor Process Engineer

Bedford, MA · On-site

... high-performance computing, artificial intelligence, cyber security as well as remote sensing ... This engineer will also be responsible for the operation of all equipment used during fabrication ...

Introl

Data Center Technician

Boston, MA · On-site

$22 - $35/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 ...

Cybercoders

Network Engineer

Boston, MA · Remote

$175K - $250K/yr

... AI/High Performance Computing Infrastructure. Founded in 2017, we are now post-IPO, publicly traded, and experiencing MASSIVE GROWTH... Our revenue grew over 95% in the last YEAR ! We have made ...

QCi

... high-performance computing, artificial intelligence, cyber security as well as remote sensing ... This engineer will also be responsible for the operation of all equipment used during fabrication ...

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All JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Massachusetts

Internship High Performance Computing Engineer information

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 Massachusetts? The most popular types of High Performance Computing Engineer jobs in Massachusetts are:
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Internship High Performance Computing Engineer jobs near you
Site Reliability Engineer

Site Reliability Engineer

Watershed Informatics

Cambridge, MA

$62.25 - $82.75/hr

Other

Posted 24 days ago

Job description

About Watershed

Our vision is to become the leading biocomputing platform. The future of biology is in big data analysis, and we are on a mission to accelerate digital drug discovery with the Watershed platform. Watershed enables scientists to conduct all essential analysis - from lab data to plot - with a single software platform. 

We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are growing! Join a team that's intellectually curious with a bias for action, headquartered in Cambridge, Massachusetts, composed of people who have come together to enable outcomes while empowering the research of all those committed to changing lives - all while bringing transformational change to a $40 billion industry.

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 kinds and size of biological data, you will work in a highly-customized bare metal environment where our biocomputing platform and analyses run at scale. You will be tasked with engineering a new cloud experience while enabling our technology evolution in a disciplined way.

Responsibilities
  • Build, manage, and deploy a large fleet of Linux servers
  • Research new technologies and solutions, implement them or build better
  • Be the connection between hardware and software
  • Monitor system performance and manage capacity.
  • Fix and analyze technical incidents, solve ad hoc technical problems.
Qualifications
  • Experience composing infrastructure-as-code for a modern environment
  • Demonstrate a software developer mindset, building tools when necessary
  • Knowledge of virtualization, networking, and Linux Kernel internals
  • Ability to clearly communicate your thoughts, ask the right questions, and defend your views
  • Responsibility and ownership over your domain. 

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