Tesla

Makes electric cars, robotaxis and grid batteries

Software Engineer - Fleet Management

Backend EngineeringConfirmed live in the last 24 hours

Full-timeAustin, TX, USANo salary listed

About the Job

Requirements

At least 3 years of software engineering experience, with strong foundations in algorithms, data structures, and systems design.
A deep interest or experience in robotics, multi-agent systems, fleet management, logistics optimization, or operations research, with the ability to reason about graph algorithms, optimization problems, and state machines.
Strong proficiency in Go and working familiarity with GraphQL, gRPC, NATS or Kafka, SQL (MySQL), Docker, and Kubernetes.
Comfort with distributed systems concepts, including real-time messaging, event-driven architectures, state management, and eventual consistency.
A product-minded approach that considers the user experience and how factory operators and engineers will interact with the software.

Responsibilities

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 SI and machine learning techniques to improve scheduling, routing, anomaly detection, and operational decision-making.
Build and maintain integrations with industrial equipment, manufacturing execution systems, and internal platforms connecting fleet management to factory automation.
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 through 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.

Desired Qualifications

Experience building user-facing features, applying site reliability engineering practices, developing continuous integration and continuous delivery pipelines, or automating infrastructure.
Experience with fleet management, warehouse automation, industrial automation systems, robotics controls, or hardware-software integration.

Category	Engineering & Information Technology
Location	AUSTIN, Texas
Requisition ID	268132
Type	Full-time

Job Description

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 SI-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).

Job Responsibilities

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 SI 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

Job Requirements

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

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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