Software Engineering Intern

Nuvo

Nuvo is bringing B2B commerce online. While technology has reshaped consumer commerce, the business-to-business (B2B) economy — three times larger— has lagged behind. From coffee to lumber, every product we use has been traded through a complex supply chain of suppliers, manufacturers, wholesalers, and retailers. Despite the massive scale of this market, most businesses manage their trading relationships and commerce activities using outdated methods like paper forms, PDFs, emails, faxes, phone calls, and spreadsheets, making processes slow and inefficient.

Much like how Shopify, Stripe and Square have transformed how consumer companies transact, we aim to do the same for B2B companies.

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.

• 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.

• 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.