Lead field application engineers deploying autonomous-driving and remote-operation systems, improving site processes and tools while handling complex tests, troubleshooting, and stakeholder coordination.
About this role
EARTHBRAIN, whose Smart Construction series digitises construction work, is developing an unmanned construction system in which one operator supervises several machines working autonomously. It is hiring a Frontend Engineer for the operator's web application, a dashboard that shows the status, autonomous behaviour and camera feeds of many machines at once in the browser.
The engineer works with designers to turn design intent into the interface and interactions, designs, develops and runs the web application used to supervise and instruct autonomous machines, and improves UI, UX, performance and state management. Other duties are connecting data with Node.js and Python control applications and joining technology choices.
Applicants need five or more years of web application development with HTML, CSS and JavaScript, experience implementing Figma designs faithfully with designers, frontend work with REST or GraphQL APIs, understanding of real-time technologies such as WebRTC and video streaming, GitHub team development and review, and native-level Japanese. Preferred are animation and interaction work, Node.js or Python backends, AWS, state machines or behaviour trees, visualising data from many units and conversational English.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Develop and manage autonomous construction systems, focusing on technology selection and project management.
Coordinate improvements to a large system linking construction sites and machinery: organize client requests, improve user workflows, prioritize development, manage vendors and budgets, and support system handovers.
Leads detection engineering for cyber defense operations, building Detection-as-Code pipelines, AI/LLM-driven analytics, eBPF runtime security, threat hunting, and SOAR integrations.
Lead DealOn’s engineering team hands-on with AI coding agents, owning delivery, technical decisions, roadmap, team growth, and hiring support. Tokyo; full remote unavailable.
Build generative-AI products and internal tools from prototypes to operational systems. Projects may include full-stack development, data simulation and visualization, or IoT-enabled agriculture.