Role description
NuvoAbout Nuvo
We’re Redefining the $11T B2B Commerce and Payments Market
Nearly everything you buy, from food to medicine, from building materials to auto parts, passes through a chain of businesses before it reaches your hands. But every handoff between them still runs on paperwork, phone calls, and spreadsheets. Nuvo is building the agentic commerce network to bring global trade online: shared infrastructure for everything from verification to invoicing to payment, with AI agents that can automate routine tasks so humans can focus on judgment. With 200k+ businesses already run on the Nuvo network today, and backed by $45M from Sequoia, Spark, Founders Fund, and Index, we're building the operating system for global commerce.
About the Role
We are looking for smart engineers to help build category-defining products. Our problems span scaling AI agents, multi-agent workflows that automate risk and payments, and running agents on large scale data. You'll partner with our engineering, design and product teams to help shape the roadmap, solve real world problems and build our 0-1 products. Your work will have huge impact: on team culture, on our customers and on the economy.
What You’ll Do:
- Own a real project end to end over the internship, shipping code that reaches customers building on the Nuvo trade network.
- Write high-quality, clean and performant code with support and code review from experienced engineers.
- Collaborate across the team to build intuitive experiences and learn how a fast-moving early-stage company operates up close.
- Bring your ideas. Interns here shape real product and engineering decisions, not busywork.
- Use the best tools for the job. We'll help you get up to speed on our stack quickly.
What You Bring:
- Currently pursuing a CS or related degree with solid fundamentals in data structures and algorithms.
- Evidence that you build things you care about: coursework, side projects, hackathons, or prior internships.
- Strong problem-solving skills and a willingness to ask questions and learn fast.
- Genuine curiosity about internet technologies and a bias for action in an ambiguous, fast-growing environment.