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).
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 that gives factory operators real-time visibility into fleet status, scheduling decisions, and system health
Write comprehensive tests for algorithmic correctness, edge cases, and performance
Design and improve observability: metrics, logging, tracing, and dashboards that make fleet behavior transparent and debuggable
Collaborate with firmware engineers to ensure fleet-level decisions translate to correct vehicle behavior, and contribute to robot control software when needed
3+ years of software engineering experience with strong foundations in algorithms, data structures, and systems design
Deep interest or experience in robotics, multi-agent systems, fleet management, logistics optimization, or operations research - you can reason about graph algorithms, optimization problems, and state machines
Strong proficiency in Go; working familiarity with the broader stack: GraphQL, gRPC, NATS or Kafka, SQL (MySQL), Docker, and Kubernetes
Comfortable working with distributed systems concepts: real-time messaging, event-driven architectures, state management, and eventual consistency
Product-minded - you think about the user's experience, not just the engineering solution, and consider how factory operators and engineers will interact with what you build
Experience building user-facing features, SRE practices, CI/CD pipelines, or infrastructure automation is a plus - the team owns its full stack and build tooling end-to-end
Experience with fleet management, warehouse automation, industrial automation systems, robotics controls, or hardware-software integration is a plus
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: