About Raptor Maps, Inc

Solar power is the largest source of new energy in the world. Raptor Maps is a fast-growing, venture-backed, MIT-born climate tech company building software to enable the solar energy industry to scale. We have the leading platform for remotely managed solar operations, and our mission is to make solar asset management and O&M dramatically simpler through better data, automation, and the integration of robotics. We serve tens of thousands of solar sites around the world with a dedicated and passionate team committed to having impact through work and advancing the renewable energy economy.

Our mission is groundbreaking, and we need great people to make it happen. Join us in building the digital backbone of a stronger, more scalable solar industry! ☀️

About the role

Raptor Maps is seeking a Software Engineering Intern to join our Engineering team for Summer 2026. This internship offers hands-on experience working on production systems that support large-scale solar operations, with opportunities across full-stack web development, machine learning, and robotics. Interns are embedded within active teams, contribute meaningful code, and learn directly from experienced engineers through mentorship and collaboration.

Internships are a core part of our talent pipeline and culture at Raptor Maps. We intentionally design our internship program to provide real ownership, strong technical growth, and exposure to climate-impact work, and many of our interns return as full-time team members after graduation

All interns must be able to join us in our office at Greentown Labs in Somerville at least 3x/week. Some interns may be asked to travel occasionally.

What you'll do

Interns will be hired for a specific track, either Full-Stack or Automation. Work may include:

Full-Stack Engineering

• Design, develop, and deploy new features in production web applications
• Collaborate with engineers and product partners to translate requirements into technical solutions
• Debug, troubleshoot, and improve application performance and reliability

Automation

• Contribute to the training, evaluation and deployment of machine learning models for computer vision applications
• Contribute to the prototyping, implementation, and evaluation of algorithms to process images and 3D data
• Analyze and curate datasets for machine learning and computer vision tasks

Qualifications - Nonnegotiable

• Currently pursuing a degree in Computer Science, Engineering, Robotics, or a related technical field (rising Seniors and graduate students preferred) 
• Coursework or project experience in software development
• Ability to write clear, maintainable code and learn new technologies quickly
• Authorized to work in the United States
• Primarily located in Boston, MA during the internship period

Qualifications - Preferred

• Experience with Python and/or JavaScript (React)
• Exposure to machine learning, robotics, or computer vision through coursework or projects
• Familiarity with web application development, APIs, or data pipelines
• Interest in climate tech, renewable energy, or mission-driven work