The cloud team builds foundational infrastructure for the Large Action Model (LAM), representing a new class of third-party intermediaries between users and service providers. We are pioneering massively-deployable, mature personalized agents, based on a cloud-native architecture that can securely and scalably run any computer application in a virtualized manner. LAM-powered agents can easily perform actions in our environments on behalf of the user and reflect the results to the various AI functionalities in OS in real time. This is an exciting and challenging endeavor on multiple fronts: low-latency optimizations for various network traffic taking place on the app and to the user through VNC, observability for LAM decision making and mutation in the apps themselves, and encouraging and producing respectful behaviors and client signatures for the service providers.

In Short

Monitor and maintain the health of our Kubernetes clusters and cloud services.
Develop the internal framework for creating and managing LAM-powered agents.
Monitor and optimize key metrics (latency, accuracy, stability) for most frequently used LAM instances.
Implement and maintain the web presence: web portal, company website, etc.
Maintain and iterate data collection platform for LAM.
Collaborate with our applied AI team to integrate various workloads into OS.
Collaborate with our device platform team to co-implement and optimize communication protocols between our device and OS.

Requirements

Experience with various backend languages, such as Python and TypeScript (Node.js), and with frontend technologies such as HTML5 and React.
Experience with application automation frameworks and technologies across web, Linux, Windows and Android environments.
Experience applying database technologies, including SQL, MongoDB, etc., and data modeling principles.
Experience writing concurrent, asynchronous, and parallel applications.
Experience working with virtualization technologies and at least one of the major cloud stacks (GCP, AWS, Azure).
Experience building scalable and resilient systems.
Experience with VNC technologies.
Experience with real-time communication protocols including WebSocket, WebRTC, etc.