Software Engineering Intern (Summer 2026)

About the role

Join our engineering team for a 12-week paid internship where you'll work alongside world-class engineers, designers, and product managers to build the future of software creation. You'll contribute to real features that impact millions of developers worldwide, from our AI-powered development environment to the infrastructure that makes lightning-fast collaboration possible.

This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe.

You will

• Ship real features to millions of developers using Replit's platform
• Collaborate cross-functionally with engineers, designers, product managers, and AI researchers
• Build and optimize developer experiences that make coding accessible to everyone
• Work on cutting-edge AI tools and infrastructure that power the next generation of software creation
• Learn from the best in an environment where your ideas are heard and often implemented

Required skills and experience

• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical field
• Have at least one semester of schooling remaining after the internship completion
• Proficient in at least one programming language and comfortable with full stack development
• Passionate about developer tools, AI, or making technology more accessible
• Thrive in fast-paced environments where you can move quickly and adapt to changing priorities

What we value

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems