Software Engineer Intern (Winter 2027)
Notion
About the Role
- This internship will take place from January 25 - April 16.
- You will need to be able to work out of our NY or SF office during this time.
Key Responsibilities
- Write clean, secure, tested, and documented code.
- Design & enhance the Notion product with new capabilities with an AI first mindset.
- Develop, fix and debug software across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.
Requirements & Tech Stack
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field.
- Must graduate before December 2027.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
Skills You’ll Need To Bring
- Thoughtful problem-solving: Decompose tricky problems and work towards a clean solution, by yourself or with teammates. Comfortable asking for help when stuck.
- Put users first: Think critically about the implications of what you're building and its impact on real people.
- Not ideological about technology: Understand technology tradeoffs and can learn new technologies.
- Empathetic communication: Communicate nuanced ideas clearly, whether explaining technical decisions in writing or brainstorming in real-time. Engage thoughtfully with other perspectives and compromise when needed.
- Team player: Enjoy collaborating cross-functionally and care about learning, growing, and helping others.
- AI enthusiast: Have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more.
Nice To Haves
- Expertise with specific technologies such as Typescript, React, Python.
- Familiarity with computing pioneers and their work.
- Interests outside of technology, such as in art, history, or social sciences.