SoftwareEngineer

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. DigitalOcean's Agentic Inference Cloud that delivers predictable cost efficiency, radically simple operations and high performance at scale — so teams can focus on building AI products instead of managing infrastructure or absorbing surprise costs. The platform combines production-ready GPU infrastructure, a full-stack cloud, model-first inference workflows, and an agentic experience layer to reduce operational complexity and accelerate time to production. More than 640,000 customers trust DigitalOcean to deliver the cloud and AI infrastructure they need to build and grow. Our engineering team owns this stack end-to-end. You will work on everything from low-level kernel and GPU optimizations to high-performance dedicated clusters and serverless APIs. By engineering every layer of the infrastructure, we ensure that state-of-the-art models - across LLMs, image, audio, and video - run at peak efficiency on a global scale. We are looking for Software Engineers to help us build a developer-first, vertically integrated platform that simplifies the entire AI lifecycle. You must be currently located in and able to work 3 days per week in the DigitalOcean office we are building in Seattle. What You’ll Do: Feature Development: Write production grade Go and Python to solve the "unit economics" of AI- optimizing how we monetize a single GPU across multiple abstraction layers. Performance Engineering: Implement and experiment with prefix caching, batch inferencing, and model quantization to reduce