Software Engineer - Cloud Simulation & Full-Stack

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond. About the Role: We are looking for a software engineer to build the cloud-native and full-stack systems that power customer-facing simulation at Skydio. In this role, you will design and implement the services, APIs, and interfaces that allow customers to configure, personalize, and interact with the Skydio Simulator at scale. This is not a pure cloud role: you will work closely with the simulator itself, interfacing directly with C++ and Python systems that run real-time simulation and autonomy software. You’ll help bridge the gap between a complex robotics simulator and intuitive, flexible user experiences delivered through the cloud. Areas of Responsibility: Cloud-Backed Simulation Services: Build backend systems that orchestrate simulator execution, configuration, and lifecycle management in cloud environments. Customer Personalization and Configuration: Enable customers to tailor simulation environments, [... source excerpt omitted ...] e, including control, data exchange, and monitoring. Full-Stack Experiences: Develop backend and frontend components that expose simulator capabilities through web interfaces and customer-facing tools. Scalability and Reliability: Ensure simulation services are secure, observable, and scalable to support production customer workloads. What You’ll Do: Design and build cloud-native services that orchestrate, configure, and interact with the Skydio Simulator at scale. Develop robust backend systems that interface directly with the simulator runtime, enabling control, configuration, data exchange, and monitoring. Build customer-facing workflows and APIs that allow users to pers [... source excerpt omitted ...] ations to deliver intuitive, reliable simulation experiences. Partner closely with simulator, autonomy, and product teams to translate complex simulator capabilities into usable, production-ready customer features. Architect systems with a strong focus on scalability, reliability, observability, and security, supporting multi-tenant, production workloads. Contribute to technical direction and architectural decisions around how simulation is delivered as a cloud product. Qualifications: Strong professional experience building backend and distributed systems in production environments. Proficiency in Python and C++ (required), with the ability to integrate cloud services with p