Senior Software Engineer, Autonomous Traffic Control

Bot Auto

$130K — $180K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
  • 5+ years of full-stack software engineering experience, with demonstrated frontend domain expertise
  • Strong proficiency with modern frontend frameworks (React, TypeScript, Vite, Tailwind)
  • Solid backend skills in Python, Go, Java, or Node.js, including REST and streaming APIs
  • Strong eye for UX, performance, and reliable real-time interfaces

Responsibilities

  • Design and build full-stack features for the Autonomous Traffic Control system
  • Develop responsive, data-rich web interfaces focusing on UX and operational reliability
  • Build backend services, APIs, and integrations that connect ATC with the autonomous fleet
  • Contribute to internal operations visualization tools and the driver-facing application
  • Visualize fleet state and telemetry for actionable situational awareness
  • Partner with product, autonomy, and operations teams to translate workflows into software
  • Own features from design to production deployment, maintaining engineering best practices

Benefits

  • Flexible working hours
  • Opportunities for career advancement
  • Collaborative team environment
  • Access to cutting-edge technology
  • Health and wellness programs
Full Job Description
We are seeking a highly skilled and motivated Senior Software 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, geospatial data (maps, polygons, routes), and telemetry to give operators clear, actionable situational awareness.
  • Partner with product, autonomy, and operations teams to translate operational workflows (SOPs) into intuitive, dependable software.
  • Own features end to end - from design and implementation through testing, deployment, and operation in production.
  • Uphold engineering best practices with clean, maintainable, well-tested code and thoughtful API and component design.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
  • 5+ years of full-stack software engineering experience, with demonstrated frontend domain expertise
  • Strong proficiency with modern frontend frameworks and tooling (React, TypeScript, and a build system such as Vite; CSS frameworks such as Tailwind)
  • Solid backend skills in one or more of Python, Go, Java, or Node.js, including building and consuming REST and streaming APIs
  • Strong eye for UX, performance, and building reliable real-time interfaces
Preferred Qualifications
  • Experience building real-time, operations-critical, or mission-control style applications (live dashboards, monitoring, command-and-control)
  • Experience with geospatial/mapping visualization (e.g., Mapbox, deck.gl, Leaflet) and large-scale data visualization
  • Familiarity with event-driven architectures and streaming (WebSockets, MQTT, NATS, Kafka)
  • Experience with containerized deployment (Docker, Kubernetes) and cloud platforms (AWS)
  • Interest in autonomous systems, robotics, or transportation
  • Experience collaborating closely with operations teams and turning workflows into product

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