ICEYE Engineering Intern Lab 2027

About this role

ICEYE ENGINEERING INTERN LAB 2027 Get paid to build the future of space. Join ICEYE, the company operating the world’s largest Synthetic Aperture Radar (SAR) satellite constellation, for a fully paid, onsite internship where AI meets real-world engineering. The ICEYE Engineering Internship Program (“The ICEYE Intern Lab”) is designed for talented students in computer science, engineering, hardware, data science, and AI who want to apply their skills to meaningful challenges in earth observation, sensor technology, and intelligent systems.

With a flexible term of 3–6 months, interns work onsite at ICEYE’s engineering offices (Finland, Spain or Poland), collaborating directly with hardware, software, and operations teams on mission-driven projects. We seek Master’s and Bachelor’s students with strong AI tool fluency, curiosity, and a hands-on builder mindset. You’ll be embedded in one of ICEYE’s engineering teams as a contributing team member for the duration of the program, contributing to real satellite and analytics projects (not simulations) that advance ICEYE’s mission to make the world safer and more resilient through persistent monitoring.

This second cohort officially launches in May 2027, with opportunities for early placement available. Application Deadline: December 21, 2026 Decision Timeline: Offers to be made on a rolling basis with final decisions made by February 15, 2027 Cohort start date: May 2027 Qualifications: Education - Currently enrolled as a Bachelor's student (3rd year or later) or Master's student in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Electrical Engineering, Mechanical Engineering, Aerospace, or a closely related field.

- Recent university graduates are also eligible. - Must be eligible to work onsite in Finland, Spain or Poland (EU/EEA citizen, or able to secure an appropriate visa with the support of ICEYE). Technical Skills Our teams and projects span many different disciplines, but they are all highly technical and hands-on. Here is an example of technical skills needed in certain areas: - For software engineering roles: strong programming proficiency in Python, Go, Rust, and/or C++ - For data science roles: computer vision, LLM, and/or classical machine learning experience.