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Infrastructure Intern Jobs in Massachusetts (NOW HIRING)

RMF Engineering, Inc

Intern/Co-Op - Boston

Boston, MA · On-site

$18.25 - $23.75/hr

... utility infrastructure construction. Description RMF is currently seeking an engineering ... intern/co-op position. Duration and start/ finish windows based on the candidate's academic ...

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Infrastructure Intern information

What does an infrastructure intern do?

An Infrastructure Intern assists with the maintenance, development, and management of an organization's IT infrastructure, such as servers, networks, and cloud services. Typical tasks may include monitoring system performance, troubleshooting issues, supporting hardware and software installations, and helping with documentation. This role provides hands-on experience in IT operations and is a great starting point for a career in information technology or systems administration.

What types of projects or tasks can I expect to work on as an infrastructure intern?

As an Infrastructure Intern, you will typically assist with maintaining and optimizing IT systems, supporting network and server operations, and helping troubleshoot hardware or software issues. You may also participate in projects such as deploying new equipment, documenting configurations, or automating routine processes. Collaboration with experienced engineers and IT staff is common, offering you valuable exposure to best practices and real-world problem-solving. This hands-on experience can provide a strong foundation for a career in IT infrastructure.

What are the key skills and qualifications needed to thrive as an infrastructure intern, and why are they important?

To thrive as an Infrastructure Intern, you need foundational knowledge in networking, operating systems, and computer hardware, often supported by coursework in IT or computer science. Familiarity with tools like Linux/Windows servers, basic scripting languages, and ticketing or monitoring systems such as Jira or Nagios is typically required. Strong problem-solving skills, effective communication, and a willingness to learn set standout interns apart. These abilities are crucial for supporting infrastructure teams, troubleshooting issues efficiently, and adapting to the fast-paced, evolving nature of IT environments.

What is the difference between Infrastructure Intern vs Network Intern?

AspectInfrastructure InternNetwork Intern
Required CredentialsTypically pursuing or holding a degree in IT, Computer Science, or related fieldsSimilar educational background, often with focus on networking or systems
Work EnvironmentAssists with infrastructure projects, hardware setup, and system maintenanceSupports network configuration, troubleshooting, and security tasks
Employer & Industry UsageUsed in companies with large IT infrastructure, data centers, or cloud servicesCommon in organizations with extensive network systems and cybersecurity needs

Both roles are entry-level internships in IT, focusing on different aspects of technology infrastructure. An Infrastructure Intern generally works on hardware, servers, and overall system setup, while a Network Intern specializes in network systems, security, and connectivity. Understanding these differences helps candidates choose the internship aligned with their career goals in IT and networking.

What are the most commonly searched types of Infrastructure jobs in Massachusetts?

The most popular types of Infrastructure jobs in Massachusetts are:

What are popular job titles related to Infrastructure Intern jobs in Massachusetts?

For Infrastructure Intern jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Infrastructure Intern jobs in Massachusetts look for?

The top searched job categories for Infrastructure Intern jobs in Massachusetts are:

What cities in Massachusetts are hiring for Infrastructure Intern jobs?

Cities in Massachusetts with the most Infrastructure Intern job openings:

Infrastructure Intern jobs near you
Infographic showing various Infrastructure Intern job openings in Massachusetts as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 28 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)