Frontend Engineer, Autonomous Traffic Control
Bot Auto
San Francisco, CA, US
Onsite
2026-06-25
Estimated salary · San Francisco
$76k–$144k
Low
$76K
Median
$108K
High
$144K
Market in San Francisco · BLS OEWS 2025
Job description
### **Company Introduction**
At Bot Auto, we are revolutionizing the transportation of goods with our cutting\-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start\-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world\-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
We are seeking a highly skilled and motivated **Frontend Engineer, Autonomous Traffic Control** to build the systems and interfaces that connect our autonomous fleet to the people and intelligence that support it. This is a full\-stack role with deep frontend domain expertise. Your flagship project is Autonomous Traffic Control (ATC) — the platform through which our autonomy vehicles request and receive Traffic Advice, environmental intelligence, and human assistance. You will also contribute to operations and data platforms across internal developer and operation platforms, shipping polished, reliable, real\-time tools used by ATC controllers, fleet operators, and vehicle drivers.
### **Key Responsibilities**
* Design and build full\-stack features for Autonomous Traffic Control (ATC), enabling controllers to review vehicle state reports and issue Traffic Advice (reroute, wait, retry, dispatch, escalate) in real time.
* Develop responsive, data\-rich web interfaces using modern frontend frameworks (React, TypeScript, Vite, Tailwind), with strong attention to UX, real\-time data, and operational reliability.
* Build the backend services, APIs, and event\-driven/streaming integrations that power ATC and connect it to the autonomous fleet and external live feeds (weather, DOT/traffic, operator inputs).
* Contribute to operations and visualization tools across internal developer \& operation platforms and the driver\-facing on\-vehicle application.
* Visualize fleet state,