Software Engineer - Cloud Simulation & Full-Stack

Skydio•San Mateo, CA

About The Position

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.

Requirements

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 performance-sensitive native systems.
Proficiency in modern frontend development using TypeScript and React.
Experience designing and consuming APIs, including GraphQL or similar API paradigms.
Experience with cloud and platform technologies such as AWS, Kubernetes, and PostgreSQL.
Comfort working across system boundaries — from cloud services and APIs down to simulator-facing interfaces.
Strong product sense and ability to design systems that are both technically sound and intuitive for customers.
Excellent communication skills and ability to collaborate across multiple teams and disciplines.

Nice To Haves

Experience with Go for backend or platform services.
Experience with Rust (strong plus), especially for systems, performance-sensitive, or infrastructure work.
Frontend experience with 3D or visualization technologies such as Three.js or WebGL.
Familiarity with workflow orchestration systems such as Temporal.
Experience productizing complex technical systems for external users.
Background or interest in simulation, robotics, or real-time systems.

Responsibilities

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.