Software Engineer, Fleet Management

About this role

What to Expect

Tesla builds fleet management and robot control software that orchestrates autonomous robots and automation systems — including AMRs, ASRS and conveyance systems — across global manufacturing and warehouse facilities. The platform integrates with robots, industrial equipment, and internal MES systems to coordinate material flow end-to-end. These systems are production-critical and directly impact factory throughput, uptime, and scalability.

We are seeking a Software Engineer to join the Fleet Management team. The Fleet Management domain handles job scheduling, vehicle routing, traffic management, conflict resolution, and fleet coordination at scale — a distributed, event-driven system spanning microservices, real-time messaging, and edge computing. This is a full stack role with a strong backend emphasis — you will spend the majority of your time on scheduling, routing, and orchestration algorithms in Go, while also exploring AI-driven approaches to optimization, contributing to frontend tooling, and occasionally stepping into robotics controls work alongside the firmware team.

You will work within a small, focused team alongside a Staff-level domain lead and experienced engineers. You will receive mentorship on algorithm design and systems architecture while being expected to take ownership of meaningful features from day one.

This position is based in Austin, TX (onsite).

What You'll Do

• Implement and improve job scheduling, vehicle routing, traffic management, and fleet orchestration algorithms in Go — including task assignment, path planning, conflict resolution, dynamic replanning, and resource allocation
• Explore and apply AI and ML techniques to improve scheduling, routing, anomaly detection, and operational decision-making
• Build and maintain integrations with industrial equipment, MES systems, and other internal platforms that connect fleet management to the broader factory automation stack
• Contribute to frontend tooling t...