Software Engineer Intern (Winter 2027)
Notion
San Francisco, CAFresher59m agovia LinkedIn
About the Role
Notion is the collaborative AI workspace where teams and agents think together, building one place for knowledge, projects, meetings, and AI tools. This internship will take place from January 25 - April 16 and requires work from the NY or SF office.
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, and tools, 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 proficiency in one or more programming languages such as Typescript, Node.js, or Python.
- Ability to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
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 how it shapes real people's lives.
- Not ideological about technology: Can learn new technologies as you go.
- Empathetic communication: Communicate nuanced ideas clearly, whether explaining technical decisions in writing or brainstorming. Engage thoughtfully with other perspectives and compromise when needed.
- Team player: Enjoy collaborating cross-functionally to accomplish shared goals. 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 that are part of our stack, including Typescript, React, Python.
- Familiarity with computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and their work.
- Interests outside of technology, such as in art, history, or social sciences.