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Shield AI

Builds autonomous aircraft for defense

Senior Software Engineer - Frontend Platform

Full-Stack EngineeringPosted on Nov 9
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • Experience owning production full-stack applications from design and implementation through rollout and support.
  • Strong proficiency with TypeScript and React or an equivalent modern web stack.
  • Experience building production backend services in Go, Python, Rust, or a comparable language.
  • Experience designing typed, versioned APIs and contracts between independently deployed components.
  • Strong knowledge of web and distributed-system architecture, including state management, routing, asynchronous communication, browser security, authentication, authorization, and failure handling.
  • Experience building real-time and high-performance applications using WebGL or WebGPU.
  • Sound judgment about when to extend an existing system, introduce an abstraction, or keep a solution intentionally small.
  • Ability to communicate clearly and work across frontend, backend, infrastructure, and product disciplines.

Responsibilities

  • Build and operate a front-end-focused development platform embedded in workflows used to train, validate, and deploy the AI Pilot.
  • Design a composable user interface architecture that lets applications contribute apps, dashboards, commands, widgets, and shared resource context.
  • Define typed, versioned contracts between the platform and independently developed Forge applications.
  • Create workflows for teams to package, publish, configure, install, upgrade, and disable applications.
  • Enable Forge’s native AI experiences and external agent harnesses to understand active context, invoke authorized tools, navigate applications, and compose dashboards.
  • Deliver consistent application behavior across local-development and AI Factory environments.
  • Partner with simulation, autonomy, and machine-learning subject-matter experts to build initial applications, validate the platform against real workflows, and incorporate findings.
  • Work across infrastructure, security, product, and design to shape the platform’s architecture and engineering practices.

Desired Qualifications

  • Experience with extensible application platforms, including plugin systems, micro-frontends, web sandboxing, Web Components, or Visual Studio Code extensions.
  • Experience with agent-tool integrations and protocols such as Model Context Protocol.
  • Experience with API gateways, reverse proxies, service catalogs, or policy-driven routing.
  • Experience with schema-driven API development using OpenAPI, JSON Schema, Protocol Buffers, gRPC, or generated clients.
  • Experience with Kubernetes and ingress or gateways.
  • Experience with composable user experiences such as dashboard builders, configurable layouts, data visualization, or collaborative application state.
  • Experience in robotics, autonomy, simulation, aerospace, or other domains where software interacts with real-world systems.
  • Experience shipping Electron applications.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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