Tessera Labs
Software Engineering Intern, Full Stack
San Jose Office (HQ) · Intern · Internship
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About the role
- If you enjoy turning ambiguous problems into polished products, you can have an outsized impact on a platform that's still early.
- You can lean toward frontend or backend depending on your preference, or do both.
Responsibilities
- Build product features in React and TypeScript on the frontend and/or Python on the backend, including APIs, data models, and services.
- Take problems from a rough starting point to shipped: figure out what's actually being asked, dig into the data and code, propose an approach, and build it.
- Build the tools that make AI agents understandable and controllable for the people using them: seeing what an agent is doing, reviewing its work, and stepping in when needed.
- Partner with product and design to question assumptions, shape solutions, get feedback early, and iterate.
- Strong product sense. You think about the people using what you build and have ideas about how to make it better, whether you're working on the frontend or the backend.
- Experience building software, through class projects, side projects, or a previous internship. Any language is fine.
Nice to have
- You've built something with LLMs or agents.
- Familiarity with React, TypeScript, or Python, which make up most of our stack.
- Duration: 10-12 weeks
- Hours: Up to 40 hours per week
- Tessera Labs is an equal opportunity employer and welcomes candidates from all backgrounds and experiences.
- No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs' name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization.
- Any such activity conducted without explicit written consent is strictly prohibited.
Company info
- bring real AI automation to the enterprise - with speed and precision and measurable impact.
- We move fast, operate with extreme ownership, and build at the frontier of applied AI.
- What we're looking for
This listing is sourced directly from Tessera Labs's careers page and normalized into a canonical job model.