Skild AI

Full Stack Engineer (Frontend & Android Focus)

San Mateo · Work style not stated

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About the role

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EmployerSkild AI
LocationSan Mateo
Work styleWork style not stated
Employer posted2 months ago

Company Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position Overview

We are seeking a highly skilled Full Stack Engineer with a specialization in Frontend and Androiddevelopment. In this role, you will build critical interfaces that end customers use to understand the performance of the robotics system in their application, operators use to deploy and manage fleets of robots, and operators and engineers use for debugging.

Show full description

You will bridge the gap between complex robotic intelligence and the user experience for our commercial partners. You will be responsible for designing and implementing high-performance applications that render real-time 3D environments, telemetry, and maps. Because our robots operate in diverse and challenging customer environments, you will architect solutions that are resilient to poor network conditions or complete disconnection. We are looking for an engineer with a background in graphics or gaming who understands the intricacies of rendering and state management at scale.

Responsibilities

Architect and Build Scalable Interfaces: Design and develop responsive, high-performance web and Android applications that serve as the primary interface for monitoring and controlling robotic fleets.
3D & Map Rendering: Implement complex visualization tools in the browser and on mobile devices, rendering large-scale maps, point clouds, and 3D environments to visualize robot perception in real-time.
Resilient Networking: Engineer robust data synchronization layers that handle network-denied environments or intermittent connectivity, ensuring seamless operation and data integrity when robots go offline.
Full Stack Development: Work across the stack, with a heavy emphasis on TypeScript/JavaScript for frontend logic and integration with backend services and robotic APIs.
Performance Optimization: Profile and optimize rendering pipelines and application logic to ensure smooth performance on varied hardware, from high-end workstations to mobile field devices.
Collaboration: Work closely with robotics researchers, ML engineers, and infrastructure teams to define APIs and data formats that support rich, real-time visualization.

Basic Qualifications

Bachelor's degree in Computer Science or related field
Strong proficiency in JavaScript/TypeScript
Experience with React and modern frontend development
Understanding of backend development principles
Knowledge of database design and management
Experience with containerization (Docker)
Familiarity with CI/CD principles
Basic understanding of cloud services

Preferred Qualifications

Strong Industry Experience: A proven track record of building and shipping complex, user-facing products at scale.
Expert TypeScript/JavaScript Skills: Deep proficiency in modern JS ecosystems (React, Vue, or similar) and state management.
Android Development: Solid experience building native or high-performance cross-platform Android applications.
Graphics or Gaming Background: Experience with WebGL, Pixi, Three.js, OpenGL, or game engines (Unity/Unreal). You understand how to render 3D geometry and handle high-frame-rate visualizations in a browser or mobile context.
Indoor Mapping & Spatial Data: Experience rendering complex indoor environments and floor plans. Familiarity with spatial data structures and libraries suitable for indoor navigation and visualization, rather than traditional outdoor geospatial mapping.
Offline-First Architecture: Demonstrated ability to build systems that function reliably in network-constrained environments (CRDTs, local-first databases, optimistic UI updates).
Systems Thinking: Ability to understand the full flow of data from a robot sensor to a user's screen.

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