Software Engineer, Size Analysis & Snapshots
Build and operate full-stack features for mobile build size analysis and visual snapshot products, from CI ingestion and backend processing to GitHub integrations and fast, data-rich interfaces.
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
As a Software Engineer on the Next.js team, youβll work on the core of the framework, collaborating directly with the open-source community and delivering features to a global audience of developers. The team is responsible for advancing Next.js and its ecosystem, so developers can build faster, more scalable applications. Youβll work on server rendering, routing, bundling, performance optimization, and integrating emerging web standards. Your job is to keep the framework intuitive and stable as it evolves. This is a hybrid role with 3 in-office days per week in San Francisco or New York City.
The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location, and the total package includes benefits and equity-based compensation. Your recruiter can share more details during the hiring process.
Build and operate full-stack features for mobile build size analysis and visual snapshot products, from CI ingestion and backend processing to GitHub integrations and fast, data-rich interfaces.
Own a core engineering domain end to end, building and shipping multimodal AI agents for customer conversations while shaping product decisions through customer feedback.
Develop and maintain bespoke online systems, including Shiny applications, that support statistics teaching and research, while providing technical support and shaping the departmentβs digital learning environment.
Develop and enhance market data applications, support business partners with technical issues, and contribute to cloud migration, documentation, and spreadsheet automation across financial data systems.
Own AI engineering engagements from workflow discovery through production, building reliable agents, integrations, and automated workflows that improve business efficiency and deliver measurable value.