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
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, scenarios, vehicles, and behaviors through robust APIs and services
Simulator Integration: Design clean, reliable interfaces between cloud services and the core simulator runtime, 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
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 personalize simulation environments, scenarios, vehicles, and behaviors
Implement full-stack features, collaborating across backend services and frontend applications 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- Proficiency in Python and C++ (required), with the ability to integrate cloud services with performance-sensitive native systems
Strong product sense and ability to design systems that are both technically sound and intuitive for customers
Experience with cloud and platform technologies such as AWS, Kubernetes, and PostgreSQL
Proficiency in modern frontend development using TypeScript and React
Excellent communication skills and ability to collaborate across multiple teams and disciplines
Comfort working across system boundaries — from cloud services and APIs down to simulator-facing interfaces
Experience designing and consuming APIs, including GraphQL or similar API paradigms
Strong professional experience building backend and distributed systems in production environments
Experience with Rust (strong plus), especially for systems, performance-sensitive, or infrastructure work
Experience with Go for backend or platform services
Frontend experience with 3D or visualization technologies such as Three.js or WebGL
Familiarity with workflow orchestration systems such as Temporal
Background or interest in simulation, robotics, or real-time systems
Experience productizing complex technical systems for external users
