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Internship High Performance Computing Engineer Jobs in Peabody, MA

Infrastructure Engineer

Cambridge, MA · On-site

$118K - $155K/yr

They are seeking an Infrastructure Engineer to design and manage high-performance computing systems that support their biocomputing platform, ensuring it can handle the growth of biological data.

Infrastructure Engineer

Cambridge, MA · On-site

$118K - $155K/yr

The Infrastructure Engineer will design and manage high-performance computing infrastructure to support the analysis of biological data and enable technology evolution. Responsibilities : • Build ...

Site Reliability Engineer

Cambridge, MA · On-site

$62.75 - $83.50/hr

The Site Reliability Engineer will be responsible for engineering infrastructure to support high-performance computing needs in a bare metal environment, while also enabling technology evolution and ...

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

Staff Engineer, Sr. Manager

Andover, 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 ...

Showing results 21-40

Internship High Performance Computing Engineer information

See Peabody, MA salary details

$12

$66

$108

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

As of Aug 6, 2026, the average hourly pay for internship high performance computing engineer in Peabody, MA is $66.72, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.53 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 Peabody, MA are hiring for Internship High Performance Computing Engineer jobs? Cities near Peabody, MA with the most Internship High Performance Computing Engineer job openings:

Executive Director, Research Computing and Informatics

Beth Israel Deaconess Medical Center

Boston, MA

Full-time

Re-posted 23 days ago


Beth Israel Deaconess Medical Center rating

7.3

Company rating: 7.3 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

383rd of 1,054 rated hospitals


Job description

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.

Reporting directly to the Chief Academic Officer, BILH/BIDMC, the Executive Director, Research Computing & Informatics, provides strategic and operational leadership for research-focused IT services across the BILH system, with a primary emphasis on establishing, expanding, and sustaining a comprehensive High Performance Computing (HPC) program, AI/ML research capabilities and next generation cyber infrastructure for research. The Executive Director will partner closely with the BILH IT System Services Liaison for Research.
The Executive Director serves as a bridge between complex research IT capabilities and the academic community, with a demonstrated ability to communicate technical concepts, risks, and opportunities in clear, accessible terms to non-technical faculty, administrators, and senior leadership. This role partners closely with faculty, research leadership, academic units, and BILH IT System Services to enable data intensive, computational data, and AI-driven research across disciplines.
BILH is establishing a system-wide High-Performance Computing (HPC) Core enabled by a strategic grant from Dell Technologies. The Executive Director will lead the design, deployment, and operation of this enterprise HPC environment and ensure it delivers measurable impact across biomedical research, clinical trials, and AI-enabled healthcare.
This role is responsible for translating a major capital investment in advanced computing into a durable, secure, and investigator-focused capability. The Executive Director will bridge biomedical research, clinical informatics, AI governance, and enterprise IT, with an initial focus on AI-enhanced clinical trial recruitment and large-scale analysis of BILH-wide clinical and research data.
The position is foundational to BILH’s strategy for data-powered precision medicine and will shape how computational resources are accessed, governed, and scaled across the system.
The Executive Director serves as a key architect of the institution’s research computational and AI research strategy, ensuring scalable, secure, and sustainable computing environments that enhance research competitiveness, attract external funding, and accelerate discovery by aligning capabilities with current and future research needs.

Job Description:

Key Responsibilities

Strategic Leadership & Vision

  • Develop and lead a comprehensive strategy for research computing, HPC, and AI/ML platforms aligned with institutional research priorities and academic goals.
  • Translate institutional research priorities into computing capabilities supporting omics, imaging, clinical data analytics, simulation, and AI/ML workloads.
  • Establish a sustainable, scalable ecosystem for advanced computing and AI-enabled research, supporting modeling, simulation, data analytics, and machine learning workloads.
  • Advise the Chief Academic Officer and administrative leadership on trends, opportunities, and risks related to research IT, HPC, AI/ML, and cyberinfrastructure.
  • Integrate principles of responsible, ethical, and transparent AI into research computing strategy and operations.

HPC Core Leadership & Delivery

  • Lead the implementation, operation, and continuous evolution of the HPC Core, ensuring enterprise-grade reliability, scalability, performance, and secure access.
  • Manage the HPC Core as a viable and sustainable service for the research community, balancing performance, access, and cost.
  • Establish governance, access models, service tiers, and support frameworks for shared HPC and AI/ML resources.
  • Promote best practices in research software engineering, reproducibility, workflow automation, and MLOps.

Clinical Trials & AI Enablement

  • Drive early HPC and AI/ML use cases that strengthen clinical trial recruitment, including AI-enhanced cohort discovery and analytics.
  • Partner with clinical informatics and data teams to support large-scale querying and analysis of enterprise clinical datasets, including millions of patients, encounters, and clinical notes.
  • Ensure strict protection of PHI and regulated data through secure computing environments, governance controls, and compliance-aligned architectures.
  • Work closely with institutional AI/LLM governance bodies to ensure responsible, ethical, and compliant deployment of advanced analytics and AI workflows.

Research Engagement & Enablement

  • Serve as the senior point of contact for investigators, core facilities, and translational research programs seeking advanced computational and AI-enabled support.
  • Ensure equitable access to HPC resources for early-stage investigators as well as large, data-intensive research programs.
  • Deliver early insights and demonstrable value from biomedical discovery and translational research use cases.
  • Support grant competitiveness by documenting HPC and AI/ML capabilities, advising on computational feasibility, and aligning infrastructure with sponsor expectations.
  • Establish and lead training and onboarding programs to enable effective researcher access and adoption of HPC and AI platforms.

Architecture, Operations & Security

  • Oversee HPC and research computing architecture across on-premises, cloud, and hybrid environments, including GPU-accelerated systems.
  • Ensure enterprise-grade operations, including system monitoring, patching, lifecycle management, disaster recovery, performance tuning, and capacity planning.
  • Maintain close alignment with BILH IT System Services on facilities, power, cooling, networking, and physical and cyber security of high-value computing assets.
  • Promote best practices in research software engineering, reproducibility, workflow automation, and MLOps.
  • Oversee AI/ML research platforms, including data pipelines, model training and inference environments, high-performance storage, and research software ecosystems.
  • Establish governance, access models, service tiers, and support frameworks for shared HPC and AI/ML resources.
  • Promote best practices in research software engineering, reproducibility, workflow automation, and MLOps.

Governance, Strategy & Partnerships

  • Contribute to institutional governance related to research computing, data science, and AI strategy.
  • Advise senior academic, research, and clinical leadership on trends, risks, and investment opportunities in HPC, AI/ML, and cyberinfrastructure.
  • Represent the institution in external initiatives and partnerships, including regional and national efforts such as the Massachusetts AI Hub.
  • Engage industry partners and vendors in ways that accelerate research while protecting patient data, institutional interests, and academic independence.

Financial & Team Management

  • Manage HPC operating and capital budgets, vendor relationships, refresh cycles, and long-term capacity planning.
  • Implement transparent usage, allocation, and cost models that balance sustainability with broad and equitable access.
  • Build, mentor, and lead a multidisciplinary HPC and research computing team spanning infrastructure, storage, security, and investigator-facing support.
  • Foster a culture of collaboration, service excellence, and continuous learning.
  • Oversee AI/ML research platforms, including data pipelines, model training and inference environments, high-performance storage, and research software ecosystems.
  • Establish governance, access models, service tiers, and support frameworks for shared HPC and AI/ML resources.

Required Qualifications

  • Advanced degree (PhD, MD, or equivalent experience) in a computational, biomedical, engineering, data science, or other data-intensive discipline.
  • Leadership experience directing high-performance or large-scale research computing in an academic medical center or comparable environment.
  • Demonstrated experience supporting data-intensive biomedical and clinical research and working directly with investigators.
  • Strong understanding of secure computing environments for sensitive, regulated, or clinical data (e.g., PHI).
  • Proven ability to communicate complex technical concepts clearly and effectively to non-technical faculty, clinical leaders, and executive stakeholders.
  • Demonstrated success leading cross-functional teams and complex, enterprise-scale initiatives.

Desirable Qualifications

  • Direct experience of biomedical research activities.
  • Direct experience with AI/ML or LLM-based systems applied to clinical or translational research.
  • Experience integrating research computing platforms with EMR-adjacent or clinical data systems.
  • Track record of contributing to institutional infrastructure strategy or large-scale research initiatives.
  • Familiarity with governance models for AI, data access, and enterprise research computing.

The Executive Director must be able to:

  • Convert Dell’s in-kind investment into real scientific and clinical impact.
  • Navigate the boundary between research computing and clinical data without compromising security or trust.
  • Deliver early wins in biomedical research, clinical trial recruitment and AI-enabled analytics while building a long-term, scalable platform.

Pay Range:

$225,000.00 USD - $295,000.00 USD

The pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law. 

As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment. More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger. Equal Opportunity Employer/Veterans/Disabled

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About Beth Israel Deaconess Medical Center

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Beth Israel Deaconess Medical Center (BIDMC) is an academic medical center located in the heart of Boston. We are a teaching affiliate of Harvard Medical School. Our passion is caring for our patients like they are family, finding new cures, using the finest and the latest technologies, and teaching and inspiring caregivers of tomorrow. We put people at the center of everything we do, because we believe in medicine that puts people first.

Industry

Hospitals

Company size

5,001 - 10,000 Employees

Headquarters location

Boston, MA, US

Year founded

1916